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    "content": "---\ntitle: Quantum Tech Papers\nemoji: 🧑‍🔬\ncolorFrom: blue\ncolorTo: indigo\nsdk: streamlit\nsdk_version: \"1.42.0\"\napp_file: main.py\npinned: false\n---\n# Quantum-tech-papers\n\nThis repository contains a list of some of the papers and publications, I have read through my journey through quantum.\n\nI began working on this project through my undergraduate years and currently continue mantaining it in grad school.\n\nThe objective of this project is not to curate a list of the most recommended publications for a beginner in quantum tech, but rather to build a journal (of sorts) that depics my journey through quantum publications. The full list of reads can be found here, but other branches include year by year breakdowns. The topics presented in this compilation often reflect my work and surges in interest through my time in this industry.\n\nAn interactive web application is now available to navigate the collection, perform semantic searches, and explore relationships between authors, papers, and keywords through graph visualizations. Paper metadata enrichment including abstracts, keywords, authors, journals, and publication links (sourced via external APIs) is also integrated\n\nAccess the web application:\n\n[![Streamlit App](https://img.shields.io/badge/Streamlit-Open_App-brightgreen?logo=streamlit)](https://quantum-tech-papers.streamlit.app/)\n\nRe-curring topics on this list include:\n\n- Quantum protocol design\n- Quantum algorithms\n- The Quantum internet\n- Silicon based quantum technologies\n- Ion traps\n- The Hong-Ou-Mandel effect\n- Quantum circuits\n- Programmable quantum gates\n- Quantum error correction\n- Quantum error mitigation\n- Electron-spin states\n- Commercial and philosophical views on quantum technologies\n- Quantum repeater architectures\n- Quantum memories\n- Experimental simulating tools\n- Quantum markets and hype\n- Quantum Machine Learning (QML)\n- Constructor theory\n- Physical information\n- Quantum Neural Networks (QNNs)\n\nI no longer update this list due to time constraints (simply dropping my current Zotero library wouldn’t be useful - diminishing returns and all). However, I hope this repository remains helpful for students beginning their journey into quantum, as it reflects my first three years in the field (up to the first few months of my PhD) through papers.\n\nI still welcome contributions in the Recommended Reads branch and would love to curate a strong list of student-recommended readings for future learners.\n\nOriginally this repo contained the physical versions of the papers mentioned, but due to space, these had to be removed. They can still be found in the year by year breakdowns, but the main branch now only contains the full list in alphabetical order of papers and publications. These are as follows:\n\n- 2D materials for quantum information science\n       https://www.nature.com/articles/s41578-019-0136-x\n- 18th Conference on the Theory of Quantum Computation, Communication and Cryptography\n       https://inspirehep.net/files/36042b35a0a8b68d0c63390592af9491\n- A Grand Unification of Quantum Algorithms - John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang\n       https://arxiv.org/abs/2105.02859\n- A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms - Javier Mancilla, Christophe Pere \n       https://www.mdpi.com/1099-4300/24/11/1656\n- A Review of Quantum Computer Energy Efficiency - Nelly Elsayed† Anthony S. Maida† Magdy Bayoumi\n       https://ieeexplore.ieee.org/abstract/document/8767125\n- A Tutorial on Quantum Error Correction - Andrew M. Steane\n       https://www2.physics.ox.ac.uk/sites/default/files/ErrorCorrectionSteane06.pdf\n- A generalization of the stabilizer formalism for simulating arbitrary quantum circuits - Theodore J. Yoder   \n       https://www.scottaaronson.com/showcase2/report/ted-yoder.pdf\n- A photonic cluster state machine gun - Netanel H. Lindner, Terry Rudolph\n       https://arxiv.org/abs/0810.2587\n- A quantum walk control plane for distributed quantum computing in quantum networks - Matheus Guedes de Andrade, Wenhan Dai, Saikat Guha, Don Towsley\n       https://arxiv.org/abs/2106.09839\n- Active learning of quantum system Hamiltonians yields query advantage - Arkopal Dutt, et.al \n       https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033060\n- Advances in Silicon Quantum Photonics - Jeremy C. Adcock; Jueming Bao; Yulin Chi; Xiaojiong Chen; Davide Bacco; Qihuang\n       https://ieeexplore.ieee.org/document/9205209/authors#authors\n- Advances in Quantum Cryptography - S. Pirandola, et.al \n       https://arxiv.org/pdf/1906.01645.pdf\n- Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing - Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo https://arxiv.org/abs/2101.10657 or https://ieeexplore.ieee.org/document/9553133\n- All-photonic quantum repeaters - Koji Azuma, Kiyoshi Tamaki & Hoi-Kwong Lo\n       https://arxiv.org/abs/1309.7207\n- An Algebraic Language for Distributed Quantum Computing - Mingsheng Ying, Yuan Feng\n       https://ieeexplore.ieee.org/document/4745631\n- An Architecture for Meeting Quality-of-Service Requirements in Multi-User Quantum Networks - Matthew Skrzypczyk, Stephanie Wehner\n       https://arxiv.org/abs/2111.13124\n- An energy efficient multipliers using reversible gates\n       https://www.researchgate.net/publication/347857423_An_energy_efficient_multipliers_using_reversible_gates\n- An introduction to measurement based quantum computation - Richard Jozsa\n       https://arxiv.org/abs/quant-ph/0508124\n- Anti-Hong-Ou-Mandel effect with entangled photons - Anton N. Vetlugin, Ruixiang Guo, Cesare Soci, Nikolay I. Zheludev\n       https://arxiv.org/abs/2105.05444\n- Assembly and coherent control of a register of nuclear spin qubits\n       https://arxiv.org/abs/2108.04790\n- Automated distribution of quantum circuits via hypergraph partitioning - Pablo Andrés-Martínez, Chris Heunen\n       https://arxiv.org/abs/1811.10972\n- Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer - J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer, Ashlesha Patil, ...\n       https://arxiv.org/abs/2010.02905\n- Bootstrap Embedding on a Quantum Computer -Yuan Liu, et.al.\n       https://arxiv.org/pdf/2301.01457.pdf\n- Channel Waveguides in Lithium Niobate and Lithium Tantalate- Yi Lu, Benjamin Johnston, Peter Dekker, Michael J Withford, Judith M Dawes\n       https://pubmed.ncbi.nlm.nih.gov/32867367/\n- Classical, quantum and total correlations - L Henderson and V Vedral\n       https://iopscience.iop.org/article/10.1088/0305-4470/34/35/315\n- Coherent shuttle of electron-spin states - T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, L. M. K. Vandersype\n       https://arxiv.org/abs/1701.00815\n- Commercial applications of quantum computing - Francesco Bova, Avi Goldfarb, Roger G. Melko\n       https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-021-00091-1\n- Comparing coherent and incoherent models for quantum homogenization - Anna Beever, Maria Violaris, Chiara Marletto, and Vlatko Vedral\n       https://arxiv.org/pdf/2309.15741.pdf\n- Conservation Laws Reveal the Quantumness of Gravity - Tianfeng Feng, Chiara Marletto, Vlatko Vedral\n       https://arxiv.org/abs/2311.08971\n- Constructor Theory of Information - David Deutsch, Chiara Marletto\n       https://arxiv.org/abs/1405.5563\n- Constructor Theory of Life - Chiara Marletto\n       https://arxiv.org/abs/1407.0681\n- Constructor Theory of Probability\n       https://arxiv.org/abs/1507.03287\n- Constructor Theory of Thermodynamics - Chiara Marletto\n       https://arxiv.org/abs/1608.02625\n- Continued Fractions and Probability Estimations in Shor’s Algorithm: A Detailed and Self-Contained Treatise -Johanna Barzen and Frank Leymann\n       https://arxiv.org/abs/2205.01925\n- Deep Learning with Coherent Nanophotonic Circuits - Yichen Shen\n       https://arxiv.org/pdf/1610.02365.pdf\n- Designing a Quantum Network Protocol - Wojciech Kozlowski, Axel Dahlberg, Stephanie Wehner\n       https://arxiv.org/abs/2010.02575\n- Discrete simulation of quantum walks - Madita Willsch, Dennis Willsch, Kristel Michielsen, and Hans De Raedt\n       https://www.frontiersin.org/articles/10.3389/fphy.2020.00145/full\n- Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage - Torsten Hoefler, Thomas Haner and Matthias Troyer\n       https://arxiv.org/pdf/2307.00523.pdf\n- Distribution of entanglement in large-scale quantum networks - S Perseguers, G J Lapeyre Jr, D Cavalcanti, M Lewenstein and A Acin\n       https://iopscience.iop.org/article/10.1088/0034-4885/76/9/096001/pdf\n- Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing - M. Cerezo et. al.\n       https://arxiv.org/pdf/2312.09121.pdf\n- Efficient parametric frequency conversion in lithium niobate nanophotonic chips - Jia-yang Chen, Yong Meng Sua, Zhao-hui Ma, Chao Tang, Zhan Li, Yu-ping Huang\n       https://arxiv.org/abs/1903.08722\n- Electrical Tuning of Neutral and Charged Excitons with 1-nm Gate - Jawaher Almutlaq, et. al.\n       https://arxiv.org/pdf/2310.19895.pdf\n- Elementary gates for quantum computation - Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, ...\n       https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457?cm_mc_uid=43781767191014577577895&cm_mc_sid_50200000=1460741020\n- Energy-Efficient Superconducting Computing—Power Budgets and Requirements\n       https://ieeexplore.ieee.org/abstract/document/6449287\n- Error Correcting Codes in Quantum Theory, Andrew Steane\n       https://users.physics.ox.ac.uk/~Steane/pubs/Steane_PRL95.pdf \n- Energy-Efficient Superconducting Computing—Power Budgets and Requirements\n       https://ieeexplore.ieee.org/abstract/document/6449287\n- Energy & Information - Myron Tribus and Edward C. McIrvine\n       https://www.jstor.org/stable/24923125?saml_data=eyJzYW1sVG9rZW4iOiIzYThiNDZlMi1iZGVhLTRlMGQtOGExOC03YzQ2ZDZkNzQyNWQiLCJpbnN0aXR1dGlvbklkcyI6WyJiN2JlMjYxZS1hOWVhLTRiZGYtOWVjNS00ZWVkN2NhNTI5NzIiXX0#metadata_info_tab_contents\n- Entanglement in Many-Body Systems - Luigi Amico, Rosario Fazio, Vlatko Vedral\n       https://arxiv.org/pdf/quant-ph/0703044.pdf\n- Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing - Andrew K. Tan, Yuan Liu, Minh C. Tran, Isaac L. Chuang\n       https://arxiv.org/pdf/2301.08542.pdf\n- Establishing the quantum supremacy frontier with a 281 Pflop/s simulation\n       https://iopscience.iop.org/article/10.1088/2058-9565/ab7eeb/pdf?casa_token=fqUuMeRiHW8AAAAA:-qCFEf4B8q71vIHgiBtzWC_CMtpzILLTB5PaGoVOSn-EugRt6crwFnEY65HH3AwY_zVOkq2gmQ\n- Experimental demonstration of memory-enhanced quantum communication - Mihir K. Bhaskar, Ralf Riedinger, Bartholomeus Machielse, David S. Levonian,...\n       https://arxiv.org/abs/1909.01323\n- Experimental Estimation of Quantum State Properties from Classical Shadows - G.I. Struchalin, Ya.A. Zagorovskii, E.V. Kovlakov, S.S.Straupe, S.P. Kulik\n       https://arxiv.org/abs/2008.05234 \n- Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits - Ming Gong, Xiao Yuan, Shiyu Wang, Yulin Wu, ...\n       https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiH6f7Sk8n5AhW6S0EAHYpcCL0QFnoECAsQAQ&url=https%3A%2F%2Fora.ox.ac.uk%2Fobjects%2Fuuid%3A5b2e5204-7746-4569-807e-77654a77313a%2Ffiles%2Fs0v838175c&usg=AOvVaw3l2-7GFf0m6Fw14IpYljjx\n- Experimental violation of Bell inequalities for multi-dimensional systems - Hsin-Pin Lo1, Che-Ming Li2, AtsushiYabushita1, Yueh-NanChen3, Chih-Wei Luo1 & Takayoshi Kobayashi\n       https://www.nature.com/articles/srep22088\n- Exponential speedups for quantum walks in random hierarchical graphs - Shankar Balasubramanian, Tongyang Li, and Aram Harrow\n       https://arxiv.org/abs/2307.15062\n- Fault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by Classical Error-Correcting Codes - Ching-Yi Lai, Yi-Cong Zheng, and Todd A. Brun\n       https://arxiv.org/abs/1605.05647\n- Field-Deployable Quantum Memory for Quantum Networking - Yang Wang, Alexander N. Craddock, Rourke Sekelsky, Mael Flament, and Mehdi Namazi\n       https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.044058\n- Field-linked resonances of polar molecules\n       https://www.nature.com/articles/s41586-022-05651-8\n- Five open problems in theory of quantum information - Paweł Horodecki, Łukasz Rudnicki, Karol Życzkowski\n       https://arxiv.org/abs/2002.03233\n- Foundations for Near-Term Quantum Natural Language Processing - Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi\n       https://arxiv.org/abs/2012.03755\n- Fundamental Principle of Information-to-Energy Conversion - Antonio Alfonso-Faus\n       https://arxiv.org/abs/1401.6052\n- Fusion-based quantum computation - Sara Bartolucci, Patrick Birchall, Hector Bombin, Hugo Cable, Chris Dawson, Mercedes Gimeno-Segovia, Eric Johnston, ...\n       https://arxiv.org/abs/2101.09310\n- Gate Set Tomography - Erik Nielsen, John King Gamble, Kenneth Rudinger, Travis Scholten, Kevin Young1, and Robin Blume-Kohout\n       https://arxiv.org/abs/2009.07301\n- Generalized GHZ States and Distributed Quantum - Anocha Yimsiriwattana, Samuel J. Lomonaco Jr\n       https://arxiv.org/abs/quant-ph/0402148\n- Generation of broadband correlated photon-pairs in short thin-film lithium-niobate waveguides - Bradley S. Elkus, et. al\n       https://opg.optica.org/directpdfaccess/02ed958b-dc38-449c-b5d94c4360c660b2_424684/oe-27-26-38521.pdf?da=1&id=424684&seq=0&mobile=no \n- High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides - Jie Zhao, Chaoxuan Ma, Michael Rüsing, and Shayan Mookherjea\n       https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.163603 \n- How many qubits are needed for quantum computational supremacy? - Alexander M. Dalzell1, Aram W. Harrow, Dax Enshan Koh, and Rolando L. La Placa \n       https://quantum-journal.org/papers/q-2020-05-11-264/\n- Implementation of multidimensional quantum walks using linear optics and classical light - Sandeep K. Goyal, Filippus S. Roux, Andrew Forbes, and Thomas Konrad\n       https://journals.aps.org/pra/abstract/10.1103/PhysRevA.92.040302\n- Implementing Post-quantum Cryptography for Developers - Julius Hekkala, Kimmo Halunen and Visa Vallivaara\n       https://www.scitepress.org/Papers/2022/107862/107862.pdf\n- Implementing the quantum random walk - B. C. Travaglione, G. J. Milburn\n       https://arxiv.org/abs/quant-ph/0109076\n- Interference in Quantum Field Theory: Detecting Ghosts with Phases - Chiara Marletto, Vlatko Vedral\n       https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202200530\n- Is quantum computing green? An estimate for an energy-efficiency quantum advantage - Daniel Jaschke and Simone Montangero\n       https://arxiv.org/pdf/2205.12092.pdf\n- lambeq: An Efficient High-Level Python Library for Quantum NLP - Dimitri Kartsaklis, Ian Fan, Richie Yeung, Anna Pearson, Robin Lorenz,...\n       https://arxiv.org/abs/2110.04236\n- Large-scale optical characterization of solid-state quantum emitters - Madison Sutula, et. al.\n       https://arxiv.org/pdf/2210.13643.pdf\n- Linear growth of quantum circuit complexity, by Jonas Haferkamp, Philippe Faist , Naga B. T. Kothakonda, Jens Eisert, and Nicole Yunger Halpern.\n       https://www.nature.com/articles/s41567-022-01539-6\n- Locality in the Schrodinger Picture of Quantum Mechanics - Vlatko Vedral\n       https://arxiv.org/pdf/2312.04701.pdf\n- Memory cost of quantum protocols - Alessandro Bisio, Giacomo Mauro D’Ariano, and Paolo Perinott\n       https://www.researchgate.net/publication/51965796_Memory_cost_of_quantum_protocols\n- Microwave Quantum Memristors - X.-Y. Qiu, S. Kumar, F. A. Cárdenas-López, G. Alvarado Barrios, E. Solano, F.Albarrán-Arriagada\n       https://arxiv.org/abs/2311.06925\n- Mitigating the quantum hype - Olivier Ezratty\n       https://arxiv.org/abs/2202.01925\n- Mitiq: A software package for error mitigation on noisy quantum computers - Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, ...\n       https://arxiv.org/abs/2009.04417\n- Multi-state quantum simulations via model-space quantum imaginary time evolution - Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro L. Ten-no\n       https://arxiv.org/abs/2206.04494\n- Multiple Particle Interference and Quantum Error Correction, Andrew Steane\n       https://arxiv.org/abs/quant-ph/9601029\n- Multiple Particle Interference and Quantum Error Correction - Andrew Steane \n       https://arxiv.org/abs/quant-ph/9601029Multiplexed quantum repeaters\n- Multiplexed quantum repeaters based on dual-species trapped-ion systems - Prajit Dhara, Norbert M. Linke, Edo Waks, Saikat Guha, Kaushik P. Seshadreesan\n       https://arxiv.org/abs/2105.06707\n- NetSquid, a NETwork Simulator for QUantum Information using Discrete events - Tim Coopmans, Robert Knegjens, Axel Dahlberg, David Maier, Loek Nijsten, ...\n       https://arxiv.org/abs/2010.12535\n- Noisy dynamical systems evolve error correcting codes and modularity - Trevor McCourt, Ila R. Fiete, and Isaac L. Chuang\n       https://arxiv.org/pdf/2303.14448.pdf\n- Observable Thermalization: Theory, Numerical and Analytical Evidence - Lodovico Scarpa, Fabio Anza,Vlatko Vedral\n       https://arxiv.org/pdf/2309.15173.pdf\n- On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification - Alessandro Sebastianelli, Daniela A. Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo https://arxiv.org/abs/2109.09484 or https://ieeexplore.ieee.org/document/9647979\n- On the CNOT-cost of TOFFOLI gates - Vivek V. Shende, Igor L. Markov\n       https://dl.acm.org/doi/10.5555/2011791.2011799\n- One-Dimensional Quantum Walks - Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, John Watrous\n       https://dl.acm.org/doi/10.1145/380752.380757\n- Optimal architectures for long distance quantum communication - Sreraman Muralidharan, Linshu Li, Jungsang Kim, Norbert Lütkenhaus, Mikhail D. Lukin & Liang Jiang\n       https://www.nature.com/articles/srep20463\n- Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction - Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen, Vladimir Rastunkov, Vanio Markov\n        https://arxiv.org/abs/2303.05488\n- Option Pricing using Quantum Computers Nikitas Stamatopoulos, Daniel J. Egger, Yue Sun, Christa Zoufal2,3, Raban Iten2,3, Ning Shen1,\nand Stefan Woerner\n       https://arxiv.org/abs/1905.02666\n- Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer via parity detection - Dong Li, Bryan T. Gard, Yang Gao3, Chun-Hua Yuan1, Weiping Zhang1, Hwang Lee, Jonathan P. Dowling\n       https://arxiv.org/abs/1603.09019\n- Photonic resource state generation from a minimal number of quantum emitters - Bikun Li, Sophia E. Economou, and Edwin Barnes     \n       https://www.nature.com/articles/s41534-022-00522-6\n- Position paper: Green Networking Metrics - draft-cx-green-metrics\n       https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Clemm-Dong-Mirsky-Ciavaglia-Tantsura-Odini_Green-Networking-Metrics.pdf\n- Power of sequential protocols in hidden quantum channel discrimination - Sho Sugiura, et.al \n       https://arxiv.org/pdf/2304.02053.pdf\n- Practical Benchmarking of Randomized Measurement Methods for Quantum Chemistry Hamiltonians - Arkopal Dutt, et.al \n       https://arxiv.org/pdf/2312.07497.pdf\n- Practical randomness and privacy amplification - Cameron Foreman, Sherilyn Wright, Alec Edgington, Mario Berta, Florian J. Curchod\n       https://arxiv.org/abs/2009.06551\n- Predicting Many Properties of a Quantum System from Very Few Measurements - Hsin-Yuan Huang, Richard Kueng, John Preskill\n       https://arxiv.org/abs/2002.08953\n- Programmable Heisenberg interactions between Floquet qubits - Long B. Nguyen, Yosep Kim, Akel Hashim, Noah Goss, Brian Marinelli, ... \n       https://arxiv.org/abs/2211.10383\n- Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics - Jia-Wei Ji, Yu-Feng Wu, Stephen C. Wein, ...\n       https://arxiv.org/abs/2012.06687\n- Protocols for creating and distilling multipartite GHZ states with Bell pairs - Sébastian de Bone, Runsheng Ouyang, Kenneth Goodenough, David Elkouss\n       https://arxiv.org/abs/2010.12259\n- Quantum algorithm for linear systems of equations - Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd\n       https://arxiv.org/pdf/0811.3171.pdf\n- Quantum Computational Supremacy - Aram W. Harrow, Ashley Montanaro\n       https://arxiv.org/pdf/1809.07442.pdf\n- Quantum computing at the frontiers of biological sciences - Prashant S. Emani, et. al.\n       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254820/\n- Quantum Data Center: Theories and Applications - Junyu Liu, Connor T. Hann, and Liang Jiang1\n       https://arxiv.org/abs/2207.14336\n- Quantum Internet Protocol Stack a Comprehensive Survey - Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti\n       https://arxiv.org/abs/2202.10894\n- Quantum Particles and Classical Particles - Nathan Rosen\n       https://link.springer.com/article/10.1007/BF00735376\n- Quantum principal component analysis - Seth Lloyd, Masoud Mohseni and Patrick Rebentrost\n       https://www.nature.com/articles/nphys3029#Sec2\n- Quantum simulator enables first microscopic observation of charge carriers pairing\n       https://www.mpq.mpg.de/6803661/01-magnetic-pairing\n- Quantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model - Reinhard F. Werner\n       https://journals.aps.org/pra/pdf/10.1103/PhysRevA.40.4277\n- Quantum Support Vector Machine for Big Data Classification\n       https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.113.130503\n- Quantum supremacy using a programmable superconducting processor - Frank Arute1, Kunal Arya1, Ryan Babbush1, Dave Bacon\n       https://www.nature.com/articles/s41586-019-1666-5\n- Quantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels - Marcello Caleffi, Angela Sara Cacciapuoti\n       https://arxiv.org/abs/1907.07432\n- Quantum advantage in learning from experiments - Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, ...\n       https://arxiv.org/abs/2112.00778\n- Quantum communications and cryptography - Alexander V. Sergienko\n       https://people.bu.edu/alexserg/Impression_Book.pdf\n- Quantum computational advantage using photons - Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, ...\n       https://www.science.org/doi/10.1126/science.abe8770\n- Quantum computational advantage with a programmable photonic processor - Lars S. Madsen, Fabian Laudenbach, Mohsen Falamarzi. Askarani, ...\n       https://www.nature.com/articles/s41586-022-04725-x\n- Quantum computing with photons - introduction to the circuit model, the one way quantum computer, and the fundamental principles of photonic experiments \n       https://iopscience.iop.org/article/10.1088/0953-4075/48/8/083001\n- Quantum Computing - Andrew Steane\n       https://arxiv.org/abs/quant-ph/9708022\n- Quantum information processing with bosonic qubits in circuit QED - Atharv Joshi, Kyungjoo Noh, and Yvonne Y Gao\n       https://iopscience.iop.org/article/10.1088/2058-9565/abe989/pdf\n- Quantum mechanics with real numbers: entanglement, superselection rules and gauges - Vlatko Vedral\n       https://arxiv.org/pdf/2308.05473.pdf\n- Quantum networking, by  Rodney Van Meter (book)\n- Quantum Optical Neural Networks (Patent Application)\n       https://patentimages.storage.googleapis.com/fa/61/94/ec20dc003a6517/US20200372334A1.pdf\n- Quantum readout error mitigation via deep learning - Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, and Daniel K Park\n       https://iopscience.iop.org/article/10.1088/1367-2630/ac7b3d\n- Quantum walks a comprehensive review - Salvador E. Venegas-Andraca\n       https://arxiv.org/abs/1201.4780\n- Quantum-Enhanced Data Classification with a Variational Entangled Sensor Network - Yi Xia, Wei Li, Quntao Zhuang, Zheshen Zhang\n       https://arxiv.org/abs/2006.11962\n- Quantum Long Short-Term Memory - Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang\n       https://arxiv.org/abs/2009.01783\n- Rate limits in quantum networks with lossy repeaters - Riccardo Laurenza, Nathan Walk, Jens Eisert and Stefao Pirandola\n       https://arxiv.org/pdf/2110.10168.pdf\n- Real-time quantum error correction beyond break-even\n       https://arxiv.org/abs/2211.09116\n- Realization of Real-Time Fault-Tolerant Quantum Error Correction - C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, Francois, A. Chernoguzov, ...\n       https://journals.aps.org/prx/abstract/10.1103/PhysRevX.11.041058\n- Reducing Green House Gas Emissions With Congestion Control - Michael Welzl, Ozgu Alay, Peyman Teymoori, Safiqul Islam\n       https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Welzel-Alay-Teymoori-Islam_Reducing-Green-House-Gas-Emissions-With-Congestion-Control-v2.pdf\n- Request_Scheduling_in_Quantum_Networks - C. Cicconetti, M. Conti, and A. Passarella\n       https://www.researchgate.net/publication/352621787_Request_Scheduling_in_Quantum_Networks\n- Room temperature quantum key distribution characteristics of low‑noise InGaAs/InP single‑photon avalanche diode - Soo‑Hyun Baek, Seung‑Chul Yang1, Chan‑Yong Park\n       https://link.springer.com/article/10.1007/s40042-021-00111-4\n- Rearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures\n       https://arxiv.org/pdf/2405.19503\n- Resource savings from fault-tolerant circuit design - Andrew K. Tan, Isaac L. Chuang\n       https://arxiv.org/pdf/2311.02132.pdf\n- Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing - David Barral, et. al.\n       https://arxiv.org/abs/2404.01265\n- Scaling silicon-based quantum computing using CMOS technology - M. F. Gonzalez-Zalba, S. de Franceschi, E. Charbon, T. Meunier, M. Vinet, A. S. Dzurak\n       https://arxiv.org/abs/2011.11753\n- Scheme for reducing decoherence in quantum computer memory, Peter W. Shor\n       https://www.cs.miami.edu/home/burt/learning/Csc670.052/pR2493_1.pdf\n- Schrödinger's Web: Race to Build the Quantum Internet, by Jonathan Dowling (book)\n- SeQUeNCe a customizable discrete-event simulator of quantum networks - Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin,, Tian Zhong, ...\n       https://arxiv.org/abs/2009.12000\n- Simple Proof of Security of the BB84 Quantum Key Distribution Protocol -Peter W. Shor, John Preskill\n       https://arxiv.org/abs/quant-ph/0003004\n- Single-shot Quantum Signal Processing Interferometry - Jasmine Sinanan-Singh, Gabriel L. Mintzer, Isaac L. Chuang, and Yuan Liu\n       https://arxiv.org/pdf/2311.13703.pdf\n- Solid-state single-photon emitters - Igor Aharonovich, Dirk Englund and Milos Toth\n       http://ciqm.harvard.edu/uploads/2/3/3/4/23349210/aharanovich_2016.pdf\n- Solitons near avoided mode crossings in χ(2) nanowaveguides - William R. Rowe, Andrey V. Gorbach, Dmitry V. Skryabin\n       https://arxiv.org/abs/2108.08563\n- Stabilizer Codes and Quantum Error Correction -Thesis by Daniel Gottesman\n       https://arxiv.org/abs/quant-ph/9705052\n- Stim: a fast stabilizer circuit simulator -Craig Gidney\n       https://arxiv.org/abs/2103.02202v3\n- Substituting Quantum Entanglement for Communication - Richard Cleve and Harry Buhrman\n       https://arxiv.org/pdf/quant-ph/9704026\n- Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead - Oscar Higgott, Nikolas P. Breuckmann\n       https://arxiv.org/abs/2010.09626\n- Supervised learning with quantum enhanced feature spaces - Vojtech Havlicek, et.al \n       https://arxiv.org/pdf/1804.11326.pdf\n- Surface codes: Towards practical large-scale quantum computation - Austin G. Fowler, Matteo Mariantoni, John M. Martinis and Andrew N. Cleland\n     https://arxiv.org/abs/1208.0928   \n- Symmetry-invariant quantum machine learning force fields - Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino\n        https://arxiv.org/abs/2311.11362\n- Teleportation of entanglement over 143 km - Thomas Herbst, Thomas Scheidl, Matthias Fink, Johannes Handsteiner, Bernhard Wittmann, Rupert Ursin, Anton Zeilinger\n       https://arxiv.org/abs/1403.0009\n- The Computational and Latency Advantage of Quantum Communication Networks - Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H.P. Fitzek and Holger Boche\n       https://arxiv.org/pdf/2106.03360.pdf\n- The Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics - Vlatko Vedral\n       https://www.mdpi.com/2624-960X/5/2/31\n- The Physical Implementation of Quantum Computation\n       https://arxiv.org/abs/quant-ph/0002077\n- The SWAP test and the Hong-Ou-Mandel effect are equivalent - Juan Carlos Garcia-Escartin, Pedro Chamorro-Posada\n       https://arxiv.org/abs/1303.6814\n- The Toric Code, Paul Herringer\n       https://www.physics.rutgers.edu/grad/602/Lectures/JC_Presentations/0419/Intro_Toric_Code.pdf\n        https://arxiv.org/abs/2311.11362\n- The Future of Quantum Computing with Superconducting Qubits - Sergey Bravyi, Oliver Dial, Jay M. Gambetta, Dar ́ıo Gil, and Zaira Nazario1\n       https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/The-future-of-quantum-computing-with?gad_source=1&gclid=CjwKCAjwzN-\n- The information-theoretic foundation of thermodynamic work extraction - Chiara Marletto\n       https://arxiv.org/abs/2009.04588\n- The role of quantum information in thermodynamics ~ a topical review - John Goold, Marcus Huber, Arnau Riera, L´ıdia del Rio, and Paul Skrzypczyk\n       https://arxiv.org/abs/1505.07835\n- The_Virtual_Quantum_Optics_Laboratory - Brian R. La Cour, Maria Maynard, Parth Shroff, Gabriel Ko, Evan Ellis\n       https://arxiv.org/abs/2105.07300\n- Topological quantum memory - Eric Dennis,Alexei Kitaev,Andrew Landahl,and John Preskill\n       https://arxiv.org/abs/quant-ph/0110143\n- Tutorial: Remote entanglement protocols for stationary qubits with photonic interfaces - Hans K.C. Beukers, et.al.\n       https://arxiv.org/pdf/2310.19878.pdf\n- Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment - Farzam Toudeh-Fallah, Marco Pistoia, Yasushi Kawakura,...\n       https://arxiv.org/abs/2202.07764\n- Transitioning organizations to post-quantum cryptography - David Joseph1, Rafael Misoczki2, Marc Manzano1, Joe Tricot1, Fernando Dominguez, ...\n       https://www.nature.com/articles/s41586-022-04623-2\n- Two-photon interference the Hong-Ou-Mandel effect - FrédÉric Bouchard, Alicia Sit, Yingwen Zhang, Robert Fickler, Filippo M. Miatto,...\n       https://arxiv.org/abs/2006.09335\n- Universal and operational benchmarking of quantum memories - Xiao Yuan, Yunchao Liu, Qi Zhao, Bartosz Regula, Jayne Thompson and Mile Gu\n       https://bartoszregula.me/pdf/s41534-021-00444-9.pdf\n- Why Philosophers Should Care About Computational Complexity - Scott Aaronson\n       https://arxiv.org/abs/1108.1791\n- lambeq: An Efficient High-Level Python Library for Quantum NLP\n       https://arxiv.org/abs/2110.04236\n\n\n## Categorized Quantum Papers\n\n### Quantum Protocol Design\n- A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms\n       https://www.mdpi.com/1099-4300/24/11/1656\n- An Algebraic Language for Distributed Quantum Computing\n       https://ieeexplore.ieee.org/document/4745631\n- Designing a Quantum Network Protocol\n       https://arxiv.org/abs/2010.02575\n- Practical randomness and privacy amplification\n       https://arxiv.org/abs/2009.06551\n- Protocols for creating and distilling multipartite GHZ states with Bell pairs\n       https://arxiv.org/abs/2010.12259\n- Simple Proof of Security of the BB84 Quantum Key Distribution Protocol\n       https://arxiv.org/abs/quant-ph/0003004\n\n### Quantum Algorithms\n- A Grand Unification of Quantum Algorithms\n       https://arxiv.org/abs/2105.02859\n- Bootstrap Embedding on a Quantum Computer\n       https://arxiv.org/pdf/2301.01457.pdf\n- Continued Fractions and Probability Estimations in Shor's Algorithm: A Detailed and Self-Contained Treatise\n       https://arxiv.org/abs/2205.01925\n- Deep Learning with Coherent Nanophotonic Circuits\n       https://arxiv.org/pdf/1610.02365.pdf\n- Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing\n       https://arxiv.org/pdf/2301.08542.pdf\n- Exponential speedups for quantum walks in random hierarchical graphs\n       https://arxiv.org/abs/2307.15062\n- How many qubits are needed for quantum computational supremacy?\n       https://quantum-journal.org/papers/q-2020-05-11-264/\n- Linear growth of quantum circuit complexity\n       https://www.nature.com/articles/s41567-022-01539-6\n- One-Dimensional Quantum Walks\n       https://dl.acm.org/doi/10.1145/380752.380757\n- Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer via parity detection\n       https://arxiv.org/abs/1603.09019\n- Power of sequential protocols in hidden quantum channel discrimination\n       https://arxiv.org/pdf/2304.02053.pdf\n- Quantum algorithm for linear systems of equations\n       https://arxiv.org/pdf/0811.3171.pdf\n- Quantum principal component analysis\n       https://www.nature.com/articles/nphys3029#Sec2\n- Quantum Support Vector Machine for Big Data Classification\n       https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.113.130503\n- Quantum walks a comprehensive review\n       https://arxiv.org/abs/1201.4780\n\n### The Quantum Internet\n- Quantum Internet Protocol Stack a Comprehensive Survey\n       https://arxiv.org/abs/2202.10894\n- Quantum networking (book by Rodney Van Meter)\n- Quantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels\n       https://arxiv.org/abs/1907.07432\n- Rate limits in quantum networks with lossy repeaters\n       https://arxiv.org/pdf/2110.10168.pdf\n- Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing\n       https://arxiv.org/abs/2404.01265\n- Schrödinger's Web: Race to Build the Quantum Internet (book by Jonathan Dowling)\n- SeQUeNCe a customizable discrete-event simulator of quantum networks\n       https://arxiv.org/abs/2009.12000\n- The Computational and Latency Advantage of Quantum Communication Networks\n       https://arxiv.org/pdf/2106.03360.pdf\n\n### Silicon Based Technologies\n- Advances in Silicon Quantum Photonics\n       https://ieeexplore.ieee.org/document/9205209/authors#authors\n- Channel Waveguides in Lithium Niobate and Lithium Tantalate\n       https://pubmed.ncbi.nlm.nih.gov/32867367/\n- Electrical Tuning of Neutral and Charged Excitons with 1-nm Gate\n       https://arxiv.org/pdf/2310.19895.pdf\n- Generation of broadband correlated photon-pairs in short thin-film lithium-niobate waveguides\n       https://opg.optica.org/directpdfaccess/02ed958b-dc38-449c-b5d94c4360c660b2_424684/oe-27-26-38521.pdf?da=1&id=424684&seq=0&mobile=no\n- High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides\n       https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.163603\n- Scaling silicon-based quantum computing using CMOS technology\n       https://arxiv.org/abs/2011.11753\n- Solitons near avoided mode crossings in χ(2) nanowaveguides\n       https://arxiv.org/abs/2108.08563\n\n### Ion Traps\n- Assembly and coherent control of a register of nuclear spin qubits\n       https://arxiv.org/abs/2108.04790\n- Field-linked resonances of polar molecules\n       https://www.nature.com/articles/s41586-022-05651-8\n- Large-scale optical characterization of solid-state quantum emitters\n       https://arxiv.org/pdf/2210.13643.pdf\n- Programmable Heisenberg interactions between Floquet qubits\n       https://arxiv.org/abs/2211.10383\n- Quantum simulator enables first microscopic observation of charge carriers pairing\n       https://www.mpq.mpg.de/6803661/01-magnetic-pairing\n- Rearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures\n       https://arxiv.org/pdf/2405.19503\n\n### The Hong-Ou-Mandel Effect\n- Anti-Hong-Ou-Mandel effect with entangled photons\n       https://arxiv.org/abs/2105.05444\n- The SWAP test and the Hong-Ou-Mandel effect are equivalent\n       https://arxiv.org/abs/1303.6814\n- Two-photon interference the Hong-Ou-Mandel effect\n       https://arxiv.org/abs/2006.09335\n\n### Quantum Circuits\n- A generalization of the stabilizer formalism for simulating arbitrary quantum circuits\n       https://www.scottaaronson.com/showcase2/report/ted-yoder.pdf\n- Automated distribution of quantum circuits via hypergraph partitioning\n       https://arxiv.org/abs/1811.10972\n- Elementary gates for quantum computation\n       https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457\n- On the CNOT-cost of TOFFOLI gates\n       https://dl.acm.org/doi/10.5555/2011791.2011799\n- Stim: a fast stabilizer circuit simulator\n       https://arxiv.org/abs/2103.02202v3\n\n### Programmable Quantum Gates\n- An energy efficient multipliers using reversible gates\n       https://www.researchgate.net/publication/347857423_An_energy_efficient_multipliers_using_reversible_gates\n- Energy-Efficient Superconducting Computing—Power Budgets and Requirements\n       https://ieeexplore.ieee.org/abstract/document/6449287\n- Gate Set Tomography\n       https://arxiv.org/abs/2009.07301\n- Single-shot Quantum Signal Processing Interferometry\n       https://arxiv.org/pdf/2311.13703.pdf\n\n### Quantum Error Correction\n- A Tutorial on Quantum Error Correction\n       https://www2.physics.ox.ac.uk/sites/default/files/ErrorCorrectionSteane06.pdf\n- Error Correcting Codes in Quantum Theory\n       https://users.physics.ox.ac.uk/~Steane/pubs/Steane_PRL95.pdf\n- Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits\n       https://ora.ox.ac.uk/objects/uuid:5b2e5204-7746-4569-807e-77654a77313a/files/s0v838175c\n- Fault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by Classical Error-Correcting Codes\n       https://arxiv.org/abs/1605.05647\n- Multiple Particle Interference and Quantum Error Correction\n       https://arxiv.org/abs/quant-ph/9601029\n- Real-time quantum error correction beyond break-even\n       https://arxiv.org/abs/2211.09116\n- Realization of Real-Time Fault-Tolerant Quantum Error Correction\n       https://journals.aps.org/prx/abstract/10.1103/PhysRevX.11.041058\n- Resource savings from fault-tolerant circuit design\n       https://arxiv.org/pdf/2311.02132.pdf\n- Scheme for reducing decoherence in quantum computer memory\n       https://www.cs.miami.edu/home/burt/learning/Csc670.052/pR2493_1.pdf\n- Stabilizer Codes and Quantum Error Correction\n       https://arxiv.org/abs/quant-ph/9705052\n- Surface codes: Towards practical large-scale quantum computation\n       https://arxiv.org/abs/1208.0928\n- The Toric Code\n       https://www.physics.rutgers.edu/grad/602/Lectures/JC_Presentations/0419/Intro_Toric_Code.pdf\n\n### Quantum Error Mitigation\n- Mitiq: A software package for error mitigation on noisy quantum computers\n       https://arxiv.org/abs/2009.04417\n- Noisy dynamical systems evolve error correcting codes and modularity\n       https://arxiv.org/pdf/2303.14448.pdf\n- Quantum readout error mitigation via deep learning\n       https://iopscience.iop.org/article/10.1088/1367-2630/ac7b3d\n\n### Electron-spin States\n- Coherent shuttle of electron-spin states\n       https://arxiv.org/abs/1701.00815\n\n### Commercial and Philosophical Views\n- Commercial applications of quantum computing\n       https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-021-00091-1\n- Interference in Quantum Field Theory: Detecting Ghosts with Phases\n       https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202200530\n- Locality in the Schrodinger Picture of Quantum Mechanics\n       https://arxiv.org/pdf/2312.04701.pdf\n- Observable Thermalization: Theory, Numerical and Analytical Evidence\n       https://arxiv.org/pdf/2309.15173.pdf\n- Quantum mechanics with real numbers: entanglement, superselection rules and gauges\n       https://arxiv.org/pdf/2308.05473.pdf\n- Quantum Particles and Classical Particles\n       https://link.springer.com/article/10.1007/BF00735376\n- The Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics\n       https://www.mdpi.com/2624-960X/5/2/31\n- Why Philosophers Should Care About Computational Complexity\n       https://arxiv.org/abs/1108.1791\n\n### Quantum Repeater Architectures\n- All-photonic quantum repeaters\n       https://arxiv.org/abs/1309.7207\n- Multiplexed quantum repeaters based on dual-species trapped-ion systems\n       https://arxiv.org/abs/2105.06707\n- Optimal architectures for long distance quantum communication\n       https://www.nature.com/articles/srep20463\n- Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics\n       https://arxiv.org/abs/2012.06687\n\n### Quantum Memories\n- Field-Deployable Quantum Memory for Quantum Networking\n       https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.044058\n- Memory cost of quantum protocols\n       https://www.researchgate.net/publication/51965796_Memory_cost_of_quantum_protocols\n- Universal and operational benchmarking of quantum memories\n       https://bartoszregula.me/pdf/s41534-021-00444-9.pdf\n\n### Experimental Simulating Tools\n- Discrete simulation of quantum walks\n       https://www.frontiersin.org/articles/10.3389/fphy.2020.00145/full\n- Implementation of multidimensional quantum walks using linear optics and classical light\n       https://journals.aps.org/pra/abstract/10.1103/PhysRevA.92.040302\n- Implementing the quantum random walk\n       https://arxiv.org/abs/quant-ph/0109076\n- NetSquid, a NETwork Simulator for QUantum Information using Discrete events\n       https://arxiv.org/abs/2010.12535\n- Predicting Many Properties of a Quantum System from Very Few Measurements\n       https://arxiv.org/abs/2002.08953\n- The_Virtual_Quantum_Optics_Laboratory\n       https://arxiv.org/abs/2105.07300\n\n### Quantum Markets and Hype\n- Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage\n       https://arxiv.org/pdf/2307.00523.pdf\n- Is quantum computing green? An estimate for an energy-efficiency quantum advantage\n       https://arxiv.org/pdf/2205.12092.pdf\n- Mitigating the quantum hype\n       https://arxiv.org/abs/2202.01925\n\n### Quantum Machine Learning (QML)\n- Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing\n       https://arxiv.org/abs/2101.10657\n- On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification\n       https://arxiv.org/abs/2109.09484\n- Option Pricing using Quantum Computers\n       https://arxiv.org/abs/1905.02666\n- Quantum advantage in learning from experiments\n       https://arxiv.org/abs/2112.00778\n- Supervised learning with quantum enhanced feature spaces\n       https://arxiv.org/pdf/1804.11326.pdf\n- Symmetry-invariant quantum machine learning force fields\n       https://arxiv.org/abs/2311.11362\n\n### Constructor Theory\n- Constructor Theory of Information\n       https://arxiv.org/abs/1405.5563\n- Constructor Theory of Life\n       https://arxiv.org/abs/1407.0681\n- Constructor Theory of Probability\n       https://arxiv.org/abs/1507.03287\n- Constructor Theory of Thermodynamics\n       https://arxiv.org/abs/1608.02625\n\n### Physical Information\n- Energy & Information\n       https://www.jstor.org/stable/24923125\n- Fundamental Principle of Information-to-Energy Conversion\n       https://arxiv.org/abs/1401.6052\n- The information-theoretic foundation of thermodynamic work extraction\n       https://arxiv.org/abs/2009.04588\n- The role of quantum information in thermodynamics\n       https://arxiv.org/abs/1505.07835\n\n### Quantum Neural Networks (QNNs)\n- Quantum Long Short-Term Memory\n       https://arxiv.org/abs/2009.01783\n- Quantum Optical Neural Networks (Patent Application)\n       https://patentimages.storage.googleapis.com/fa/61/94/ec20dc003a6517/US20200372334A1.pdf\n\n### Quantum Computing Fundamentals\n- Computing with Quantum Cats: From Colossus to Qubits (book)\n- Quantum Computing\n       https://arxiv.org/abs/quant-ph/9708022\n- The Physical Implementation of Quantum Computation\n       https://arxiv.org/abs/quant-ph/0002077\n- Quantum computing at the frontiers of biological sciences\n       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254820/\n- The Future of Quantum Computing with Superconducting Qubits\n       https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/\n\n### Quantum Information Theory\n- Classical, quantum and total correlations\n       https://iopscience.iop.org/article/10.1088/0305-4470/34/35/315\n- Five open problems in theory of quantum information\n       https://arxiv.org/abs/2002.03233\n- Quantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model\n       https://journals.aps.org/pra/pdf/10.1103/PhysRevA.40.4277\n\n### Quantum Hardware & Implementation\n- 2D materials for quantum information science\n       https://www.nature.com/articles/s41578-019-0136-x\n- A Review of Quantum Computer Energy Efficiency\n       https://ieeexplore.ieee.org/abstract/document/8767125\n- Quantum Data Center: Theories and Applications\n       https://arxiv.org/abs/2207.14336\n- Quantum information processing with bosonic qubits in circuit QED\n       https://iopscience.iop.org/article/10.1088/2058-9565/abe989/pdf\n- Room temperature quantum key distribution characteristics of low‑noise InGaAs/InP single‑photon avalanche diode\n       https://link.springer.com/article/10.1007/s40042-021-00111-4\n- Solid-state single-photon emitters\n       http://ciqm.harvard.edu/uploads/2/3/3/4/23349210/aharanovich_2016.pdf\n\n### Quantum Supremacy & Computational Advantage\n- Quantum Computational Supremacy\n       https://arxiv.org/pdf/1809.07442.pdf\n- Quantum supremacy using a programmable superconducting processor\n       https://www.nature.com/articles/s41586-019-1666-5\n- Quantum computational advantage using photons\n       https://www.science.org/doi/10.1126/science.abe8770\n- Quantum computational advantage with a programmable photonic processor\n       https://www.nature.com/articles/s41586-022-04725-x\n- Establishing the quantum supremacy frontier with a 281 Pflop/s simulation\n       https://iopscience.iop.org/article/10.1088/2058-9565/ab7eeb/pdf\n\n### Quantum Communication & Cryptography\n- Advances in Quantum Cryptography\n       https://arxiv.org/pdf/1906.01645.pdf\n- Quantum communications and cryptography\n       https://people.bu.edu/alexserg/Impression_Book.pdf\n- Implementing Post-quantum Cryptography for Developers\n       https://www.scitepress.org/Papers/2022/107862/107862.pdf\n- Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment\n       https://arxiv.org/abs/2202.07764\n- Transitioning organizations to post-quantum cryptography\n       https://www.nature.com/articles/s41586-022-04623-2\n\n### Quantum Entanglement & Teleportation\n- Distribution of entanglement in large-scale quantum networks\n       https://iopscience.iop.org/article/10.1088/0034-4885/76/9/096001/pdf\n- Entanglement in Many-Body Systems\n       https://arxiv.org/pdf/quant-ph/0703044.pdf\n- Generalized GHZ States and Distributed Quantum Computing\n       https://arxiv.org/abs/quant-ph/0402148\n- Substituting Quantum Entanglement for Communication\n       https://arxiv.org/pdf/quant-ph/9704026\n- Teleportation of entanglement over 143 km\n       https://arxiv.org/abs/1403.0009\n\n### Quantum Photonics\n- A photonic cluster state machine gun\n       https://arxiv.org/abs/0810.2587\n- Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer\n       https://arxiv.org/abs/2010.02905\n- Efficient parametric frequency conversion in lithium niobate nanophotonic chips\n       https://arxiv.org/abs/1903.08722\n- Experimental demonstration of memory-enhanced quantum communication\n       https://arxiv.org/abs/1909.01323\n- Fusion-based quantum computation\n       https://arxiv.org/abs/2101.09310\n- Photonic resource state generation from a minimal number of quantum emitters\n       https://www.nature.com/articles/s41534-022-00522-6\n- Quantum computing with photons - introduction to the circuit model, the one way quantum computer, and the fundamental principles of photonic experiments\n       https://iopscience.iop.org/article/10.1088/0953-4075/48/8/083001\n\n### Natural Language Processing & Quantum Computing\n- Foundations for Near-Term Quantum Natural Language Processing\n       https://arxiv.org/abs/2012.03755\n- lambeq: An Efficient High-Level Python Library for Quantum NLP\n       https://arxiv.org/abs/2110.04236\n\n### Measurement & State Estimation\n- Active learning of quantum system Hamiltonians yields query advantage\n       https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033060\n- Experimental Estimation of Quantum State Properties from Classical Shadows\n       https://arxiv.org/abs/2008.05234\n- Experimental violation of Bell inequalities for multi-dimensional systems\n       https://www.nature.com/articles/srep22088\n- Practical Benchmarking of Randomized Measurement Methods for Quantum Chemistry Hamiltonians\n       https://arxiv.org/pdf/2312.07497.pdf\n\n### Quantum Enhanced Sensing & Detection\n- Quantum-Enhanced Data Classification with a Variational Entangled Sensor Network\n       https://arxiv.org/abs/2006.11962\n\n### Quantum Computing Applications\n- Multi-state quantum simulations via model-space quantum imaginary time evolution\n       https://arxiv.org/abs/2206.04494\n- Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction\n       https://arxiv.org/abs/2303.05488\n\n### Energy & Sustainability in Quantum Computing\n- Green Networking Metrics\n       https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Clemm-Dong-Mirsky-Ciavaglia-Tantsura-Odini_Green-Networking-Metrics.pdf\n- Reducing Green House Gas Emissions With Congestion Control\n       https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Welzel-Alay-Teymoori-Islam_Reducing-Green-House-Gas-Emissions-With-Congestion-Control-v2.pdf\n\n### Novel Quantum Devices\n- Microwave Quantum Memristors\n       https://arxiv.org/abs/2311.06925\n\n# Notes:\nIf you would like to add any paper to this repository please feel free to create a pull request &/or reach out to me via linkedin or email.\n\nLinkedin : https://www.linkedin.com/in/maria-gragera-garces/\n\nEmail : m.gragera.garces@gmail.com\n\n"
  },
  {
    "path": "app/__init__.py",
    "content": ""
  },
  {
    "path": "app/pages/__init__.py",
    "content": ""
  },
  {
    "path": "app/pages/graph_visualization.py",
    "content": "\"\"\"\ngraph_visualization.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains functions for rendering graph visualizations of quantum technology research papers in a Streamlit application.\nIt includes options for visualizing author-paper and keyword-paper relationships.\n\nFunctions:\n    render_graph_page(train_df, texts) -> None:\n        Renders the graph visualization page in the Streamlit application.\n\n    plot_author_paper_graph(df, texts) -> None:\n        Plots a graph showing the relationship between authors and papers.\n\n    plot_keyword_paper_graph(df, texts) -> None:\n        Plots a graph showing the relationship between keywords and papers.\n\n    plot_graph(G, texts) -> None:\n        Plots the graph using Plotly.\n\n    show_legend_paper_author(texts) -> None:\n        Displays the legend for the author-paper graph.\n\n    show_legend_paper_keyword(texts) -> None:\n        Displays the legend for the keyword-paper graph.\n\"\"\"\nimport streamlit as st\nimport pandas as pd\nimport plotly.graph_objects as go\nimport networkx as nx\n\n\ndef render_graph_page(train_df, texts) -> None:\n    \"\"\"\n    Renders the graph visualization page in the Streamlit application.\n\n    Parameters:\n    train_df (pd.DataFrame): DataFrame containing the training data.\n    texts (dict): Dictionary containing text labels for various fields.\n\n    Returns:\n    None\n    \"\"\"\n    st.title(texts['graph']['title'])\n    st.write(texts['graph']['description'])\n\n    graph_type = st.radio(\n        texts['graph']['select_graph_type'],\n        [\"Author-Paper\", \"Keyword-Paper\"],\n        index=0,\n        horizontal=True\n    )\n\n    if st.button(texts['graph']['generate_graph']):\n        if graph_type == \"Author-Paper\":\n            show_legend_paper_author(texts)\n            plot_author_paper_graph(train_df, texts)\n\n        elif graph_type == \"Keyword-Paper\":\n            show_legend_paper_keyword(texts)\n            plot_keyword_paper_graph(train_df, texts)\n\n\ndef plot_author_paper_graph(df, texts) -> None:\n    \"\"\"\n    Plots a graph showing the relationship between authors and papers.\n\n    Parameters:\n    df (pd.DataFrame): DataFrame containing the data.\n    texts (dict): Dictionary containing text labels for various fields.\n\n    Returns:\n    None\n    \"\"\"\n    G = nx.Graph()\n\n    for _, row in df.iterrows():\n        paper = row['Title']\n        paper_details = row.to_dict()\n\n        authors = str(row['Authors']).split(', ')\n        G.add_node(paper, type='paper', label=paper, details=paper_details)\n\n        for author in authors:\n            if author.strip():\n                G.add_node(author, type='author', label=author)\n                G.add_edge(author, paper)\n\n    plot_graph(G, texts)\n\n\ndef plot_keyword_paper_graph(df, texts) -> None:\n    \"\"\"\n    Plots a graph showing the relationship between keywords and papers.\n\n    Parameters:\n    df (pd.DataFrame): DataFrame containing the data.\n    texts (dict): Dictionary containing text labels for various fields.\n\n    Returns:\n    None\n    \"\"\"\n    G = nx.Graph()\n\n    for _, row in df.iterrows():\n        paper = row['Title']\n        paper_details = row.to_dict()\n\n        keywords = str(row['Keywords']).split(', ')\n        G.add_node(paper, type='paper', label=paper, details=paper_details)\n\n        for keyword in keywords:\n            keyword = keyword.strip()\n            if keyword:\n                G.add_node(keyword, type='keyword', label=keyword)\n                G.add_edge(keyword, paper)\n\n    plot_graph(G, texts)\n\n\ndef plot_graph(G, texts) -> None:\n    \"\"\"\n    Plots the graph using Plotly.\n\n    Parameters:\n    G (networkx.Graph): The graph to be plotted.\n    texts (dict): Dictionary containing text labels for various fields.\n\n    Returns:\n    None\n    \"\"\"\n    pos = nx.spring_layout(G, seed=42)\n\n    edge_x, edge_y = [], []\n    for edge in G.edges():\n        x0, y0 = pos[edge[0]]\n        x1, y1 = pos[edge[1]]\n        edge_x.extend([x0, x1, None])\n        edge_y.extend([y0, y1, None])\n\n    node_x, node_y, node_text, node_hover, node_color = [], [], [], [], []\n\n    for node, data in G.nodes(data=True):\n        x, y = pos[node]\n        node_x.append(x)\n        node_y.append(y)\n        node_text.append(data.get('label', node))\n\n        if data.get('type') == 'paper':\n            node_hover.append(\n                f\"{data['label']}<br><b>{texts['paper']['authors']}:</b> {data['details'].get('Authors', 'N/A')}<br>\"\n                f\"<b>{texts['paper']['journal']}:</b> {data['details'].get('Journal', 'N/A')}<br>\"\n                f\"<b>{texts['paper']['keywords']}:</b> {data['details'].get('Keywords', 'N/A')}\"\n            )\n            node_color.append('#1f77b4')\n        elif data.get('type') == 'author':\n            node_hover.append(f\"{data['label']} (Author)\")\n            node_color.append('#2ca02c')\n        elif data.get('type') == 'keyword':\n            node_hover.append(f\"{data['label']} (Keyword)\")\n            node_color.append('#ff7f0e')\n\n    fig = go.Figure(\n        data=[\n            go.Scatter(\n                x=edge_x,\n                y=edge_y,\n                mode='lines',\n                line=dict(\n                    width=0.5,\n                    color='#888'),\n                hoverinfo='none'),\n            go.Scatter(\n                x=node_x,\n                y=node_y,\n                mode='markers',\n                text=node_text,\n                textposition='top center',\n                marker=dict(\n                    size=12,\n                    color=node_color,\n                    line=dict(\n                        width=0.5,\n                        color='black')),\n                hoverinfo='text',\n                hovertext=node_hover,\n            )])\n\n    fig.update_layout(\n        showlegend=False,\n        margin=dict(l=0, r=0, t=0, b=0),\n        xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),\n        yaxis=dict(showgrid=False, zeroline=False, showticklabels=False),\n        height=600,\n    )\n\n    st.plotly_chart(fig, use_container_width=True)\n\n\ndef show_legend_paper_author(texts) -> None:\n    \"\"\"\n    Displays the legend for the author-paper graph.\n\n    Parameters:\n    texts (dict): Dictionary containing text labels for various fields.\n\n    Returns:\n    None\n    \"\"\"\n    st.markdown(\n        f\"\"\"\n        #### {texts['graph']['legend_title']}\n        - <span style=\"color:#1f77b4;\">⬤ {texts['graph']['legend_paper']}</span>\n        - <span style=\"color:#2ca02c;\">⬤ {texts['graph']['legend_author']}</span>\n        \"\"\",\n        unsafe_allow_html=True\n    )\n\n\ndef show_legend_paper_keyword(texts) -> None:\n    \"\"\"\n    Displays the legend for the keyword-paper graph.\n\n    Parameters:\n    texts (dict): Dictionary containing text labels for various fields.\n\n    Returns:\n    None\n    \"\"\"\n    st.markdown(\n        f\"\"\"\n        #### {texts['graph']['legend_title']}\n        - <span style=\"color:#1f77b4;\">⬤ {texts['graph']['legend_paper']}</span>\n        - <span style=\"color:#ff7f0e;\">⬤ {texts['graph']['legend_keyword']}</span>\n        \"\"\",\n        unsafe_allow_html=True\n    )\n"
  },
  {
    "path": "app/streamlit_app.py",
    "content": "\"\"\"\nstreamlit_app.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains the Streamlit application for searching and filtering quantum technology research papers.\nThe application allows users to search for papers based on various filters such as categories and authors,\nand displays the search results with detailed information about each paper.\n\nFunctions:\n    render_paper(row, texts) -> None:\n        Renders a research paper's details in a Streamlit container.\n\n    run_streamlit_app() -> None:\n        Runs the Streamlit application for searching and filtering quantum technology papers.\n\"\"\"\nimport streamlit as st\nimport pandas as pd\nfrom src.inference import load_embeddings_and_model, search_papers_exact_boost\nfrom src.config_loader import load_config, load_texts\nfrom app.pages.graph_visualization import render_graph_page\n\n\ndef render_paper(row, texts) -> None:\n    \"\"\"\n    Renders a research paper's details in a Streamlit container.\n    Parameters:\n    row (pd.Series): A pandas Series containing the paper's details such as Title, Web, Authors, Journal, Keywords, Category, and Abstract.\n    texts (dict): A dictionary containing text labels for various fields such as 'paper', 'view_paper', 'authors', 'journal', 'keywords', 'category', and 'show_abstract'.\n    The function displays the paper's title, a link to view the paper, and additional details like authors, journal, keywords, category, and abstract if they are available.\n    \"\"\"\n\n    with st.container():\n        st.markdown(f\"### {row['Title']}\")\n\n        st.markdown(f\"[{texts['paper']['view_paper']}]({row['Web']})\")\n\n        col1, col2, col3 = st.columns([1, 1, 1])\n\n        if pd.notna(row['Authors']) and row['Authors'] != 'Unknown':\n            col1.write(f\"**{texts['paper']['authors']}:** {row['Authors']}\")\n\n        if pd.notna(row['Journal']) and row['Journal'] != 'Unknown':\n            col2.write(f\"**{texts['paper']['journal']}:** {row['Journal']}\")\n\n        if pd.notna(row['Keywords']) and row['Keywords'] != 'Unknown':\n            col3.write(f\"**{texts['paper']['keywords']}:** {row['Keywords']}\")\n\n        if pd.notna(row['Category']):\n            st.write(f\"**{texts['paper']['category']}:** {row['Category']}\")\n\n        if pd.notna(row['Abstract']) and row['Abstract'] != 'Unknown':\n            with st.expander(texts['paper']['show_abstract']):\n                st.write(row['Abstract'])\n\n        st.divider()\n\n\ndef run_streamlit_app() -> None:\n    \"\"\"\n    Runs the Streamlit application for searching and filtering quantum technology papers.\n    This function loads the necessary configuration and text resources, sets up the Streamlit\n    interface with filters for categories and authors, and provides a search functionality\n    for querying papers. The results are displayed based on the selected filters and search query.\n    The function performs the following steps:\n    1. Loads configuration and text resources.\n    2. Loads data including training dataframe, embeddings, model, vectorizer, and TF-IDF matrix.\n    3. Sets up the Streamlit interface with two columns for category and author filters.\n    4. Filters the dataframe based on selected category and authors.\n    5. Provides a search input for querying papers.\n    6. Displays the search results or filtered papers.\n    7. Displays the end of the list message.\n    Returns:\n        None\n    \"\"\"\n    config = load_config()\n    texts = load_texts()\n    st.set_page_config(\n        page_title=\"Quantum Tech Papers\",\n        page_icon=\"📚\",\n        layout=\"wide\",\n        initial_sidebar_state=\"expanded\"\n    )\n    \n    @st.cache_resource\n    def load_data():\n        train_df, embeddings, model, vectorizer, X_tfidf = load_embeddings_and_model(\n            config)\n        return train_df, embeddings, model, vectorizer, X_tfidf\n\n    train_df, embeddings, model, vectorizer, X_tfidf = load_data()\n\n    # Sidebar navigation\n    st.sidebar.title(texts[\"app\"][\"sidebar_title\"])\n    page = st.sidebar.radio(\n        texts[\"app\"][\"sidebar_navigation\"],\n        [texts[\"sidebar\"][\"search_page\"], texts[\"sidebar\"][\"graph_page\"]]\n    )\n\n    if page == texts[\"sidebar\"][\"search_page\"]:\n        st.title(texts[\"app\"][\"home_page_title\"])\n        st.subheader(texts[\"app\"][\"home_about_title\"])\n\n        st.write(texts[\"app\"][\"home_about_text_1\"])\n        st.write(texts[\"app\"][\"home_about_text_2\"])\n\n        st.markdown(\n            f'<span style=\"color:#1f77b4;\">{texts[\"app\"][\"home_about_topics\"]}</span>',\n            unsafe_allow_html=True\n        )\n        st.write(texts[\"app\"][\"home_about_text_3\"])\n        st.write(\n            \"\"\"\n            If you would like to add any paper to this repository please feel free to create a pull request &/or reach out to me via linkedin or email.\n\n            Linkedin : [https://www.linkedin.com/in/maria-gragera-garces/](https://www.linkedin.com/in/maria-gragera-garces/)\n\n            Email : [m.gragera.garces@gmail.com](mailto:m.gragera.garces@gmail.com)\n            \"\"\"\n        )\n        st.divider()\n\n    if page == texts[\"sidebar\"][\"search_page\"]:\n        col1, col2 = st.columns([2, 2])\n\n        with col1:\n            categories = train_df['Category'].dropna().unique().tolist()\n            categories.insert(0, texts[\"filters\"][\"all\"])\n            category_selected = st.selectbox(\n                texts[\"filters\"][\"select_label\"], categories)\n\n        with col2:\n            all_authors = (\n                train_df['Authors'].dropna()\n                .str.split(', ')\n                .explode()\n                .unique()\n                .tolist()\n            )\n            all_authors.sort()\n            selected_authors = st.multiselect(\n                texts[\"filters\"][\"select_authors\"], all_authors)\n\n        query = st.text_input(texts[\"search\"][\"input_placeholder\"])\n\n        if category_selected != texts[\"filters\"][\"all\"]:\n            df_filtered = train_df[train_df['Category'] == category_selected]\n        else:\n            df_filtered = train_df\n\n        if selected_authors:\n            df_filtered = df_filtered[df_filtered['Authors'].apply(\n                lambda authors: any(author in str(authors) for author in selected_authors))]\n\n        if query:\n            st.subheader(texts[\"search\"][\"results_title\"].format(query=query))\n            results = search_papers_exact_boost(\n                query, train_df, embeddings, model, top_k=5, boost_weight=0.5\n            )\n\n            for _, row in results.iterrows():\n                render_paper(row, texts)\n\n        else:\n            st.subheader(\n                texts[\"filters\"][\"showing_category\"].format(\n                    category=category_selected))\n            st.write(\n                texts[\"filters\"][\"displaying_n_papers\"].format(\n                    count=len(df_filtered)))\n\n            for _, row in df_filtered.iterrows():\n                render_paper(row, texts)\n\n        st.write(texts[\"app\"][\"end_of_list\"])\n\n    elif page == texts[\"sidebar\"][\"graph_page\"]:\n        render_graph_page(train_df, texts)\n"
  },
  {
    "path": "config.yaml",
    "content": "paths:\n  readme_input: \"README.md\"\n  input_csv: \"data/inputs/papers_data.csv\"\n  enriched_csv: \"data/enriched/papers_data_enriched.csv\"\n  output_dir: \"data/outputs\"\n  tfidf_vectorizer: \"data/outputs/tfidf_vectorizer.pkl\"\n  tfidf_matrix: \"data/outputs/tfidf_matrix.pkl\"\n  sbert_embeddings: \"data/outputs/sbert_embeddings.pkl\"\n  sbert_model: \"data/outputs/sbert_model\"\n  train_data_with_clean: \"data/outputs/train_data_with_clean.csv\"\n"
  },
  {
    "path": "data/enriched/papers_data_enriched.csv",
    "content": "Title,Web,Category,Fetched_Title,Abstract,Authors,Journal,Keywords\n\"A Grand Unification of Quantum Algorithms - John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang\",https://arxiv.org/abs/2105.02859,,A Grand Unification of Quantum Algorithms,\"Quantum algorithms offer significant speedups over their classical\ncounterparts for a variety of problems. The strongest arguments for this\nadvantage are borne by algorithms for quantum search, quantum phase estimation,\nand Hamiltonian simulation, which appear as subroutines for large families of\ncomposite quantum algorithms. A number of these quantum algorithms were\nrecently tied together by a novel technique known as the quantum singular value\ntransformation (QSVT), which enables one to perform a polynomial transformation\nof the singular values of a linear operator embedded in a unitary matrix. In\nthe seminal GSLW'19 paper on QSVT [Gily\\'en, Su, Low, and Wiebe, ACM STOC\n2019], many algorithms are encompassed, including amplitude amplification,\nmethods for the quantum linear systems problem, and quantum simulation. Here,\nwe provide a pedagogical tutorial through these developments, first\nillustrating how quantum signal processing may be generalized to the quantum\neigenvalue transform, from which QSVT naturally emerges. Paralleling GSLW'19,\nwe then employ QSVT to construct intuitive quantum algorithms for search, phase\nestimation, and Hamiltonian simulation, and also showcase algorithms for the\neigenvalue threshold problem and matrix inversion. This overview illustrates\nhow QSVT is a single framework comprising the three major quantum algorithms,\nthus suggesting a grand unification of quantum algorithms.\",\"John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang\",arXiv,quant-ph\nA photonic cluster state machine gun,https://arxiv.org/abs/0810.2587,Quantum Photonics,A photonic cluster state machine gun,\"We present a method to convert certain single photon sources into devices\ncapable of emitting large strings of photonic cluster state in a controlled and\npulsed \"\"on demand\"\" manner. Such sources would greatly reduce the resources\nrequired to achieve linear optical quantum computation. Standard spin errors,\nsuch as dephasing, are shown to affect only 1 or 2 of the emitted photons at a\ntime. This allows for the use of standard fault tolerance techniques, and shows\nthat the photonic machine gun can be fired for arbitrarily long times. Using\nrealistic parameters for current quantum dot sources, we conclude high\nentangled-photon emission rates are achievable, with Pauli-error rates per\nphoton of less than 0.2%. For quantum dot sources the method has the added\nadvantage of alleviating the problematic issues of obtaining identical photons\nfrom independent, non-identical quantum dots, and of exciton dephasing.\",\"Netanel H. Lindner, Terry Rudolph\",arXiv,\"quant-ph, cond-mat.mes-hall\"\n\"A quantum walk control plane for distributed quantum computing in quantum networks - Matheus Guedes de Andrade, Wenhan Dai, Saikat Guha, Don Towsley\",https://arxiv.org/abs/2106.09839,,\"A quantum walk control plane for distributed quantum computing in\n  quantum networks\",\"Quantum networks are complex systems formed by the interaction among quantum\nprocessors through quantum channels. Analogous to classical computer networks,\nquantum networks allow for the distribution of quantum computation among\nquantum computers. In this work, we describe a quantum walk protocol to perform\ndistributed quantum computing in a quantum network. The protocol uses a quantum\nwalk as a quantum control signal to perform distributed quantum operations. We\nconsider a generalization of the discrete-time coined quantum walk model that\naccounts for the interaction between a quantum walker system in the network\ngraph with quantum registers inside the network nodes. The protocol logically\ncaptures distributed quantum computing, abstracting hardware implementation and\nthe transmission of quantum information through channels. Control signal\ntransmission is mapped to the propagation of the walker system across the\nnetwork, while interactions between the control layer and the quantum registers\nare embedded into the application of coin operators. We demonstrate how to use\nthe quantum walker system to perform a distributed CNOT operation, which shows\nthe universality of the protocol for distributed quantum computing.\nFurthermore, we apply the protocol to the task of entanglement distribution in\na quantum network.\",\"Matheus Guedes de Andrade, Wenhan Dai, Saikat Guha, Don Towsley\",arXiv,quant-ph\n\"Active learning of quantum system Hamiltonians yields query advantage - Arkopal Dutt, et.al\",https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033060,,Active learning of quantum system Hamiltonians yields query advantage,Unknown,\"Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang\",Physical Review Research,\n\"Advances in Quantum Cryptography - S. Pirandola, et.al\",https://arxiv.org/pdf/1906.01645.pdf,,Advances in Quantum Cryptography,\"Quantum cryptography is arguably the fastest growing area in quantum\ninformation science. Novel theoretical protocols are designed on a regular\nbasis, security proofs are constantly improving, and experiments are gradually\nmoving from proof-of-principle lab demonstrations to in-field implementations\nand technological prototypes. In this review, we provide both a general\nintroduction and a state of the art description of the recent advances in the\nfield, both theoretically and experimentally. We start by reviewing protocols\nof quantum key distribution based on discrete variable systems. Next we\nconsider aspects of device independence, satellite challenges, and high rate\nprotocols based on continuous variable systems. We will then discuss the\nultimate limits of point-to-point private communications and how quantum\nrepeaters and networks may overcome these restrictions. Finally, we will\ndiscuss some aspects of quantum cryptography beyond standard quantum key\ndistribution, including quantum data locking and quantum digital signatures.\",\"S. Pirandola, U. L. Andersen, L. Banchi, M. Berta, D. Bunandar, R. Colbeck, D. Englund, T. Gehring, C. Lupo, C. Ottaviani, J. Pereira, M. Razavi, J. S. Shaari, M. Tomamichel, V. C. Usenko, G. Vallone, P. Villoresi, P. Wallden\",arXiv,\"quant-ph, math-ph, math.MP, physics.app-ph, physics.comp-ph, physics.optics\"\nAdvantages and Bottlenecks of Quantum Machine Learning for Remote Sensing,https://arxiv.org/abs/2101.10657,Quantum Machine Learning (QML),\"Advantages and Bottlenecks of Quantum Machine Learning for Remote\n  Sensing\",\"This concept paper aims to provide a brief outline of quantum computers,\nexplore existing methods of quantum image classification techniques, so\nfocusing on remote sensing applications, and discuss the bottlenecks of\nperforming these algorithms on currently available open source platforms.\nInitial results demonstrate feasibility. Next steps include expanding the size\nof the quantum hidden layer and increasing the variety of output image options.\",\"Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo\",arXiv,\"quant-ph, cs.AI, cs.LG\"\n\"All-photonic quantum repeaters - Koji Azuma, Kiyoshi Tamaki & Hoi-Kwong Lo\",https://arxiv.org/abs/1309.7207,,All photonic quantum repeaters,\"Quantum communication holds promise for unconditionally secure transmission\nof secret messages and faithful transfer of unknown quantum states. Photons\nappear to be the medium of choice for quantum communication. Owing to photon\nlosses, robust quantum communication over long lossy channels requires quantum\nrepeaters. It is widely believed that a necessary and highly demanding\nrequirement for quantum repeaters is the existence of matter quantum memories\nat the repeater nodes. Here we show that such a requirement is, in fact,\nunnecessary by introducing the concept of all photonic quantum repeaters based\non flying qubits. As an example of the realization of this concept, we present\na protocol based on photonic cluster state machine guns and a loss-tolerant\nmeasurement equipped with local high-speed active feedforwards. We show that,\nwith such an all photonic quantum repeater, the communication efficiency still\nscales polynomially with the channel distance. Our result paves a new route\ntoward quantum repeaters with efficient single-photon sources rather than\nmatter quantum memories.\",\"Koji Azuma, Kiyoshi Tamaki, Hoi-Kwong Lo\",arXiv,quant-ph\n\"An Architecture for Meeting Quality-of-Service Requirements in Multi-User Quantum Networks - Matthew Skrzypczyk, Stephanie Wehner\",https://arxiv.org/abs/2111.13124,,\"An Architecture for Meeting Quality-of-Service Requirements in\n  Multi-User Quantum Networks\",\"Quantum communication can enhance internet technology by enabling novel\napplications that are provably impossible classically. The successful execution\nof such applications relies on the generation of quantum entanglement between\ndifferent users of the network which meets stringent performance requirements.\nAlongside traditional metrics such as throughput and jitter, one must ensure\nthe generated entanglement is of sufficiently high quality. Meeting such\nperformance requirements demands a careful orchestration of many devices in the\nnetwork, giving rise to a fundamentally new scheduling problem. Furthermore,\ntechnological limitations of near-term quantum devices impose significant\nconstraints on scheduling methods hoping to meet performance requirements. In\nthis work, we propose the first end-to-end design of a centralized quantum\nnetwork with multiple users that orchestrates the delivery of entanglement\nwhich meets quality-of-service (QoS) requirements of applications. We achieve\nthis by using a centrally constructed schedule that manages usage of devices\nand ensures the coordinated execution of different quantum operations\nthroughout the network. We use periodic task scheduling and\nresource-constrained project scheduling techniques, including a novel\nheuristic, to construct the schedules. Our simulations of four small networks\nusing hardware-validated network parameters, and of a real-world fiber topology\nusing futuristic parameters, illustrate trade-offs between traditional and\nquantum performance metrics.\",\"Matthew Skrzypczyk, Stephanie Wehner\",arXiv,\"quant-ph, cs.NI\"\nAnti-Hong-Ou-Mandel effect with entangled photons,https://arxiv.org/abs/2105.05444,The Hong-Ou-Mandel Effect,Anti-Hong-Ou-Mandel effect with entangled photons,\"In the classical Hong-Ou-Mandel (HOM) effect pairs of photons with bosonic\n(fermionic) spatial wavefunction coalesce (anti-coalesce) when mixed on a\nlossless beamsplitter. Here we report that the presence of dissipation in the\nbeamsplitter allows the observation of the anti-HOM effect, where bosons\nanti-coalesce and fermions show coalescent-like behavior. We provide an\nexperimental demonstration of the anti-HOM effect for both bosonic and\nfermionic two-photon entangled states. Beyond its fundamental significance, the\nanti-HOM effect offers applications in quantum information and metrology where\nstates of entangled photons are dynamically converted.\",\"Anton N. Vetlugin, Ruixiang Guo, Cesare Soci, Nikolay I. Zheludev\",arXiv,quant-ph\nAssembly and coherent control of a register of nuclear spin qubits,https://arxiv.org/abs/2108.04790,,Assembly and coherent control of a register of nuclear spin qubits,\"We introduce an optical tweezer platform for assembling and individually\nmanipulating a two-dimensional register of nuclear spin qubits. Each nuclear\nspin qubit is encoded in the ground $^{1}S_{0}$ manifold of $^{87}$Sr and is\nindividually manipulated by site-selective addressing beams. We observe that\nspin relaxation is negligible after 5 seconds, indicating that $T_1\\gg5$ s.\nFurthermore, utilizing simultaneous manipulation of subsets of qubits, we\ndemonstrate significant phase coherence over the entire register, estimating\n$T_2^\\star = \\left(21\\pm7\\right)$ s and measuring\n$T_2^\\text{echo}=\\left(42\\pm6\\right)$ s.\",\"Katrina Barnes, Peter Battaglino, Benjamin J. Bloom, Kayleigh Cassella, Robin Coxe, Nicole Crisosto, Jonathan P. King, Stanimir S. Kondov, Krish Kotru, Stuart C. Larsen, Joseph Lauigan, Brian J. Lester, Mickey McDonald, Eli Megidish, Sandeep Narayanaswami, Ciro Nishiguchi, Remy Notermans, Lucas S. Peng, Albert Ryou, Tsung-Yao Wu, Michael Yarwood\",arXiv,\"quant-ph, physics.atom-ph\"\nAutomated distribution of quantum circuits via hypergraph partitioning,https://arxiv.org/abs/1811.10972,Quantum Circuits,Automated distribution of quantum circuits via hypergraph partitioning,\"Quantum algorithms are usually described as monolithic circuits, becoming\nlarge at modest input size. Near-term quantum architectures can only manage a\nsmall number of qubits. We develop an automated method to distribute quantum\ncircuits over multiple agents, minimising quantum communication between them.\nWe reduce the problem to hypergraph partitioning and then solve it with\nstate-of-the-art optimisers. This makes our approach useful in practice, unlike\nprevious methods. Our implementation is evaluated on five quantum circuits of\npractical relevance.\",\"Pablo Andrés-Martínez, Chris Heunen\",arXiv,quant-ph\nBlueprint for a Scalable Photonic Fault-Tolerant Quantum Computer,https://arxiv.org/abs/2010.02905,Quantum Photonics,Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer,\"Photonics is the platform of choice to build a modular, easy-to-network\nquantum computer operating at room temperature. However, no concrete\narchitecture has been presented so far that exploits both the advantages of\nqubits encoded into states of light and the modern tools for their generation.\nHere we propose such a design for a scalable and fault-tolerant photonic\nquantum computer informed by the latest developments in theory and technology.\nCentral to our architecture is the generation and manipulation of\nthree-dimensional hybrid resource states comprising both bosonic qubits and\nsqueezed vacuum states. The proposal enables exploiting state-of-the-art\nprocedures for the non-deterministic generation of bosonic qubits combined with\nthe strengths of continuous-variable quantum computation, namely the\nimplementation of Clifford gates using easy-to-generate squeezed states.\nMoreover, the architecture is based on two-dimensional integrated photonic\nchips used to produce a qubit cluster state in one temporal and two spatial\ndimensions. By reducing the experimental challenges as compared to existing\narchitectures and by enabling room-temperature quantum computation, our design\nopens the door to scalable fabrication and operation, which may allow photonics\nto leap-frog other platforms on the path to a quantum computer with millions of\nqubits.\",\"J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer, Ashlesha Patil, Ilan Tzitrin, Takaya Matsuura, Daiqin Su, Ben Q. Baragiola, Saikat Guha, Guillaume Dauphinais, Krishna K. Sabapathy, Nicolas C. Menicucci, Ish Dhand\",arXiv,quant-ph\nBootstrap Embedding on a Quantum Computer,https://arxiv.org/pdf/2301.01457.pdf,Quantum Algorithms,Bootstrap Embedding on a Quantum Computer,\"We extend molecular bootstrap embedding to make it appropriate for\nimplementation on a quantum computer. This enables solution of the electronic\nstructure problem of a large molecule as an optimization problem for a\ncomposite Lagrangian governing fragments of the total system, in such a way\nthat fragment solutions can harness the capabilities of quantum computers. By\nemploying state-of-art quantum subroutines including the quantum SWAP test and\nquantum amplitude amplification, we show how a quadratic speedup can be\nobtained over the classical algorithm, in principle. Utilization of quantum\ncomputation also allows the algorithm to match -- at little additional\ncomputational cost -- full density matrices at fragment boundaries, instead of\nbeing limited to 1-RDMs. Current quantum computers are small, but quantum\nbootstrap embedding provides a potentially generalizable strategy for\nharnessing such small machines through quantum fragment matching.\",\"Yuan Liu, Oinam R. Meitei, Zachary E. Chin, Arkopal Dutt, Max Tao, Isaac L. Chuang, Troy Van Voorhis\",arXiv,\"quant-ph, physics.chem-ph\"\n\"Classical, quantum and total correlations\",https://iopscience.iop.org/article/10.1088/0305-4470/34/35/315,Quantum Information Theory,\"Classical, quantum and total correlations\",Unknown,\"L Henderson, V Vedral\",Journal of Physics A: Mathematical and General,\n\"Coherent shuttle of electron-spin states - T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, L. M. K. Vandersype\",https://arxiv.org/abs/1701.00815,,Coherent shuttle of electron-spin states,\"We demonstrate a coherent spin shuttle through a GaAs/AlGaAs\nquadruple-quantum-dot array. Starting with two electrons in a spin-singlet\nstate in the first dot, we shuttle one electron over to either the second,\nthird or fourth dot. We observe that the separated spin-singlet evolves\nperiodically into the $m=0$ spin-triplet and back before it dephases due to\nnuclear spin noise. We attribute the time evolution to differences in the local\nZeeman splitting between the respective dots. With the help of numerical\nsimulations, we analyse and discuss the visibility of the singlet-triplet\noscillations and connect it to the requirements for coherent spin shuttling in\nterms of the inter-dot tunnel coupling strength and rise time of the pulses.\nThe distribution of entangled spin pairs through tunnel coupled structures may\nbe of great utility for connecting distant qubit registers on a chip.\",\"T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, L. M. K. Vandersypen\",arXiv,\"cond-mat.mes-hall, quant-ph\"\n\"Commercial applications of quantum computing - Francesco Bova, Avi Goldfarb, Roger G. Melko\",https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-021-00091-1,,Commercial applications of quantum computing,\"AbstractDespite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that some companies are already building using quantum hardware. Framing these as examples of combinatorics problems, we illustrate their application in four industry verticals: cybersecurity, materials and pharmaceuticals, banking and finance, and advanced manufacturing. While quantum computers are not yet available at the scale needed to solve all of these combinatorics problems, we identify three types of near-term opportunities resulting from advances in quantum computing: quantum-safe encryption, material and drug discovery, and quantum-inspired algorithms.\",\"Francesco Bova, Avi Goldfarb, Roger G. Melko\",EPJ Quantum Technology,\n\"Comparing coherent and incoherent models for quantum homogenization - Anna Beever, Maria Violaris, Chiara Marletto, and Vlatko Vedral\",https://arxiv.org/pdf/2309.15741.pdf,,Comparing coherent and incoherent models for quantum homogenization,\"Here we investigate the role of quantum interference in the quantum\nhomogenizer, whose convergence properties model a thermalization process. In\nthe original quantum homogenizer protocol, a system qubit converges to the\nstate of identical reservoir qubits through partial-swap interactions, that\nallow interference between reservoir qubits. We design an alternative,\nincoherent quantum homogenizer, where each system-reservoir interaction is\nmoderated by a control qubit using a controlled-swap interaction. We show that\nour incoherent homogenizer satisfies the essential conditions for\nhomogenization, being able to transform a qubit from any state to any other\nstate to arbitrary accuracy, with negligible impact on the reservoir qubits'\nstates. Our results show that the convergence properties of homogenization\nmachines that are important for modelling thermalization are not dependent on\ncoherence between qubits in the homogenization protocol. We then derive bounds\non the resources required to re-use the homogenizers for performing state\ntransformations. This demonstrates that both homogenizers are universal for any\nnumber of homogenizations, for an increased resource cost.\",\"Anna Beever, Maria Violaris, Chiara Marletto, Vlatko Vedral\",arXiv,quant-ph\n\"Conservation Laws Reveal the Quantumness of Gravity - Tianfeng Feng, Chiara Marletto, Vlatko Vedral\",https://arxiv.org/abs/2311.08971,,Conservation Laws and the Quantization of Gravity,\"Adopting general frameworks for quantum-classical dynamics, we analyze the\ninteraction between quantum matter and a classical gravitational field. We\npoint out that, assuming conservation of momentum or energy, and assuming that\nthe dynamics obeys Hamiltonian formalism or a particular decomposition property\nset out in the paper, the classical gravitational field cannot change the\nmomentum or energy of the quantum system, whereas the quantum gravitational\nfield can do so. Drawing upon the fundamental relationship between conservation\nlaws and the quantum properties of objects, our analysis offers new\nperspectives for the study of quantum gravity and provides a novel\ninterpretation of existing experimental observations, such as free fall.\",\"Tianfeng Feng, Chiara Marletto, Vlatko Vedral\",arXiv,\"quant-ph, gr-qc\"\n\"Constructor Theory of Information - David Deutsch, Chiara Marletto\",https://arxiv.org/abs/1405.5563,,Constructor Theory of Information,\"We present a theory of information expressed solely in terms of which\ntransformations of physical systems are possible and which are impossible -\ni.e. in constructor-theoretic terms. Although it includes conjectured laws of\nphysics that are directly about information, independently of the details of\nparticular physical instantiations, it does not regard information as an a\npriori mathematical or logical concept, but as something whose nature and\nproperties are determined by the laws of physics alone. It does not suffer from\nthe circularity at the foundations of existing information theory (namely that\ninformation and distinguishability are each defined in terms of the other). It\nexplains the relationship between classical and quantum information, and\nreveals the single, constructor-theoretic property underlying the most\ndistinctive phenomena associated with the latter, including the lack of\nin-principle distinguishability of some states, the impossibility of cloning,\nthe existence of pairs of variables that cannot simultaneously have sharp\nvalues, the fact that measurement processes can be both deterministic and\nunpredictable, the irreducible perturbation caused by measurement, and\nentanglement (locally inaccessible information).\",\"David Deutsch, Chiara Marletto\",arXiv,quant-ph\nConstructor Theory of Life - Chiara Marletto,https://arxiv.org/abs/1407.0681,,Constructor Theory of Life,\"Neo-Darwinian evolutionary theory explains how the appearance of purposive\ndesign in the sophisticated adaptations of living organisms can have come about\nwithout their intentionally being designed. The explanation relies crucially on\nthe possibility of certain physical processes: mainly, gene replication and\nnatural selection. In this paper I show that for those processes to be possible\nwithout the design of biological adaptations being encoded in the laws of\nphysics, those laws must have certain other properties. The theory of what\nthese properties are is not part of evolution theory proper, and has not been\ndeveloped, yet without it the neo-Darwinian theory does not fully achieve its\npurpose of explaining the appearance of design. To this end I apply Constructor\nTheory's new mode of explanation to provide an exact formulation of the\nappearance of design, of no-design laws, and of the logic of self-reproduction\nand natural selection, within fundamental physics. I conclude that\nself-reproduction, replication and natural selection are possible under\nno-design laws, the only non-trivial condition being that they allow digital\ninformation to be physically instantiated. This has an exact characterisation\nin the constructor theory of information. I also show that under no-design laws\nan accurate replicator requires the existence of a \"\"vehicle\"\" constituting,\ntogether with the replicator, a self-reproducer.\",Chiara Marletto,arXiv,\"physics.bio-ph, quant-ph\"\nConstructor Theory of Probability,https://arxiv.org/abs/1507.03287,Constructor Theory,Constructor Theory of Probability,\"Unitary quantum theory, having no Born Rule, is non-probabilistic. Hence the\nnotorious problem of reconciling it with the unpredictability and appearance of\nstochasticity in quantum measurements. Generalising and improving upon the\nso-called 'decision-theoretic approach' (Deutsch, 1999; Wallace, 2003, 2007,\n2012), I shall recast that problem in the recently proposed constructor theory\nof information - where quantum theory is represented as one of a class of\nsuperinformation theories, which are local, non-probabilistic theories\nconforming to certain constructor-theoretic conditions. I prove that the\nunpredictability of measurement outcomes (to which I give an exact meaning via\nconstructor theory), necessarily arises in superinformation theories. Then I\nexplain how the appearance of stochasticity in (finitely many) repeated\nmeasurements can arise under superinformation theories. And I establish\nsufficient conditions for a superinformation theory to inform decisions (made\nunder it) as if it were probabilistic, via a Deutsch-Wallace-type argument -\nthus defining a class of decision-supporting superinformation theories. This\nbroadens the domain of applicability of that argument to cover\nconstructor-theory compliant theories. In addition, in this version some of the\nargument's assumptions, previously construed as merely decision-theoretic,\nfollow from physical properties expressed by constructor-theoretic principles.\",Chiara Marletto,arXiv,quant-ph\nConstructor Theory of Thermodynamics - Chiara Marletto,https://arxiv.org/abs/1608.02625,,Constructor Theory of Thermodynamics,\"All current formulations of thermodynamics invoke some form of\ncoarse-graining or ensembles as the supposed link between their own laws and\nthe microscopic laws of motion. They deal only with ensemble-averages,\nexpectation values, macroscopic limits, infinite heat baths, etc., not with the\ndetails of physical variables of individual microscopic systems. They are\nconsistent with the laws of motion for finite systems only in certain\napproximations, which improve with increasing scale, given various assumptions\nabout initial conditions which are neither specified precisely nor even thought\nto hold exactly in nature. Here I propose a new formulation of the zeroth,\nfirst and second laws, improving upon the axiomatic approach to thermodynamics\n(Carath\\'eodory, 1909; Lieb & Yngvason, 1999), via the principles of the\nrecently proposed constructor theory. Specifically, I provide a\nnon-approximative, scale-independent formulation of 'adiabatic accessibility';\nthis in turn provides a non-approximative, scale-independent distinction\nbetween work and heat and reveals an unexpected connection between information\ntheory and the first law of thermodynamics (not just the second). It also\nachieves the long-sought unification of the axiomatic approach with Kelvin's.\",Chiara Marletto,arXiv,physics.class-ph\nContinued Fractions and Probability Estimations in Shor’s Algorithm: A Detailed and Self-Contained Treatise -Johanna Barzen and Frank Leymann,https://arxiv.org/abs/2205.01925,,\"Continued Fractions and Probability Estimations in the Shor Algorithm --\n  A Detailed and Self-Contained Treatise\",\"The algorithm of Shor for prime factorization is a hybrid algorithm\nconsisting of a quantum part and a classical part. The main focus of the\nclassical part is a continued fraction analysis. The presentation of this is\noften short, pointing to text books on number theory. In this contribution, we\npresent the relevant results and proofs from the theory of continued fractions\nin detail (even in more detail than in text books) filling the gap to allow a\ncomplete comprehension of the algorithm of Shor. Similarly, we provide a\ndetailed computation of the estimation of the probability that convergents will\nprovide the period required for determining a prime factor.\",\"Johanna Barzen, Frank Leymann\",arXiv,\"math.HO, math.NT, quant-ph\"\n\"Quantum Data Center: Theories and Applications - Junyu Liu, Connor T. Hann, and Liang Jiang1\",https://arxiv.org/abs/2207.14336,,Data centers with quantum random access memory and quantum networks,\"In this paper, we propose the Quantum Data Center (QDC), an architecture\ncombining Quantum Random Access Memory (QRAM) and quantum networks. We give a\nprecise definition of QDC, and discuss its possible realizations and\nextensions. We discuss applications of QDC in quantum computation, quantum\ncommunication, and quantum sensing, with a primary focus on QDC for $T$-gate\nresources, QDC for multi-party private quantum communication, and QDC for\ndistributed sensing through data compression. We show that QDC will provide\nefficient, private, and fast services as a future version of data centers.\",\"Junyu Liu, Connor T. Hann, Liang Jiang\",arXiv,\"quant-ph, cs.DC, cs.LG\"\nDeep Learning with Coherent Nanophotonic Circuits - Yichen Shen,https://arxiv.org/pdf/1610.02365.pdf,,Deep Learning with Coherent Nanophotonic Circuits,\"Artificial Neural Networks are computational network models inspired by\nsignal processing in the brain. These models have dramatically improved the\nperformance of many learning tasks, including speech and object recognition.\nHowever, today's computing hardware is inefficient at implementing neural\nnetworks, in large part because much of it was designed for von Neumann\ncomputing schemes. Significant effort has been made to develop electronic\narchitectures tuned to implement artificial neural networks that improve upon\nboth computational speed and energy efficiency. Here, we propose a new\narchitecture for a fully-optical neural network that, using unique advantages\nof optics, promises a computational speed enhancement of at least two orders of\nmagnitude over the state-of-the-art and three orders of magnitude in power\nefficiency for conventional learning tasks. We experimentally demonstrate\nessential parts of our architecture using a programmable nanophotonic\nprocessor.\",\"Yichen Shen, Nicholas C. Harris, Scott Skirlo, Mihika Prabhu, Tom Baehr-Jones, Michael Hochberg, Xin Sun, Shijie Zhao, Hugo Larochelle, Dirk Englund, Marin Soljacic\",arXiv,\"physics.optics, physics.comp-ph\"\nDesigning a Quantum Network Protocol,https://arxiv.org/abs/2010.02575,Quantum Protocol Design,Designing a Quantum Network Protocol,\"The second quantum revolution brings with it the promise of a quantum\ninternet. As the first quantum network hardware prototypes near completion new\nchallenges emerge. A functional network is more than just the physical\nhardware, yet work on scalable quantum network systems is in its infancy. In\nthis paper we present a quantum network protocol designed to enable end-to-end\nquantum communication in the face of the new fundamental and technical\nchallenges brought by quantum mechanics. We develop a quantum data plane\nprotocol that enables end-to-end quantum communication and can serve as a\nbuilding block for more complex services. One of the key challenges in\nnear-term quantum technology is decoherence -- the gradual decay of quantum\ninformation -- which imposes extremely stringent limits on storage times. Our\nprotocol is designed to be efficient in the face of short quantum memory\nlifetimes. We demonstrate this using a simulator for quantum networks and show\nthat the protocol is able to deliver its service even in the face of\nsignificant losses due to decoherence. Finally, we conclude by showing that the\nprotocol remains functional on the extremely resource limited hardware that is\nbeing developed today underlining the timeliness of this work.\",\"Wojciech Kozlowski, Axel Dahlberg, Stephanie Wehner\",arXiv,\"cs.NI, quant-ph\"\nDisentangling Hype from Practicality: On Realistically Achieving Quantum Advantage,https://arxiv.org/pdf/2307.00523.pdf,Quantum Markets and Hype,\"Disentangling Hype from Practicality: On Realistically Achieving Quantum\n  Advantage\",\"Quantum computers offer a new paradigm of computing with the potential to\nvastly outperform any imagineable classical computer. This has caused a gold\nrush towards new quantum algorithms and hardware. In light of the growing\nexpectations and hype surrounding quantum computing we ask the question which\nare the promising applications to realize quantum advantage. We argue that\nsmall data problems and quantum algorithms with super-quadratic speedups are\nessential to make quantum computers useful in practice. With these guidelines\none can separate promising applications for quantum computing from those where\nclassical solutions should be pursued. While most of the proposed quantum\nalgorithms and applications do not achieve the necessary speedups to be\nconsidered practical, we already see a huge potential in material science and\nchemistry. We expect further applications to be developed based on our\nguidelines.\",\"Torsten Hoefler, Thomas Haener, Matthias Troyer\",arXiv,\"quant-ph, cs.DS, cs.PF, physics.pop-ph\"\n\"Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing - M. Cerezo et. al.\",https://arxiv.org/pdf/2312.09121.pdf,,\"Does provable absence of barren plateaus imply classical simulability?\n  Or, why we need to rethink variational quantum computing\",\"A large amount of effort has recently been put into understanding the barren\nplateau phenomenon. In this perspective article, we face the increasingly loud\nelephant in the room and ask a question that has been hinted at by many but not\nexplicitly addressed: Can the structure that allows one to avoid barren\nplateaus also be leveraged to efficiently simulate the loss classically? We\npresent strong evidence that commonly used models with provable absence of\nbarren plateaus are also classically simulable, provided that one can collect\nsome classical data from quantum devices during an initial data acquisition\nphase. This follows from the observation that barren plateaus result from a\ncurse of dimensionality, and that current approaches for solving them end up\nencoding the problem into some small, classically simulable, subspaces. Thus,\nwhile stressing quantum computers can be essential for collecting data, our\nanalysis sheds serious doubt on the non-classicality of the information\nprocessing capabilities of parametrized quantum circuits for barren\nplateau-free landscapes. We end by discussing caveats in our arguments, the\nrole of smart initializations and the possibility of provably superpolynomial,\nor simply practical, advantages from running parametrized quantum circuits.\",\"M. Cerezo, Martin Larocca, Diego García-Martín, N. L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschuetz, Zoë Holmes\",arXiv,\"quant-ph, cs.LG, stat.ML\"\nEfficient parametric frequency conversion in lithium niobate nanophotonic chips,https://arxiv.org/abs/1903.08722,Quantum Photonics,\"Efficient parametric frequency conversions in lithium niobate\n  nanophotonic chips\",\"Chip-integrated nonlinear photonics holds the key for advanced optical\ninformation processing with superior performance and novel functionalities.\nHere, we present an optimally mode-matched, periodically poled lithium niobate\nnanowaveguide for efficient parametric frequency conversions on chip. Using a\n4-mm nanowaveguide with subwavelength mode confinement, we demonstrate second\nharmonic generation with efficiency over $2200\\%~W^{-1}cm^{-2}$, and broadband\ndifference frequency generation with similar efficiency over a 4.5-THz spectral\nspan. These allow us to generate correlated photon pairs over multiple\nfrequency channels via spontaneous parametric down conversion, all in their\nfundamental spatial modes, with a coincidence to accidental ratio as high as\n600. The high efficiency and dense integrability of the present chip devices\nmay pave a viable route to scalable nonlinear applications in both classical\nand quantum domains.\",\"Jia-yang Chen, Yong Meng Sua, Zhao-hui Ma, Chao Tang, Zhan Li, Yu-ping Huang\",arXiv,\"quant-ph, physics.optics\"\nElectrical Tuning of Neutral and Charged Excitons with 1-nm Gate,https://arxiv.org/pdf/2310.19895.pdf,Silicon Based Technologies,Electrical Tuning of Neutral and Charged Excitons with 1-nm Gate,\"Electrical control of individual spins and photons in solids is key for\nquantum technologies, but scaling down to small, static systems remains\nchallenging. Here, we demonstrate nanoscale electrical tuning of neutral and\ncharged excitons in monolayer WSe2 using 1-nm carbon nanotube gates.\nElectrostatic simulations reveal a confinement radius below 15 nm, reaching the\nexciton Bohr radius limit for few-layer dielectric spacing. In situ\nphotoluminescence spectroscopy shows gate-controlled conversion between neutral\nexcitons, negatively charged trions, and biexcitons at 4 K. Important for\nquantum information processing applications, our measurements indicate gating\nof a local 2D electron gas in the WSe2 layer, coupled to photons via trion\ntransitions with binding energies exceeding 20 meV. The ability to\ndeterministically tune and address quantum emitters using nanoscale gates\nprovides a pathway towards large-scale quantum optoelectronic circuits and\nspin-photon interfaces for quantum networking.\",\"Jawaher Almutlaq, Jiangtao Wang, Linsen Li, Chao Li, Tong Dang, Vladimir Bulović, Jing Kong, Dirk Englund\",arXiv,\"cond-mat.mes-hall, physics.optics\"\nElementary gates for quantum computation,https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457,Quantum Circuits,Elementary gates for quantum computation,Unknown,\"Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, Norman Margolus, Peter Shor, Tycho Sleator, John A. Smolin, Harald Weinfurter\",Physical Review A,\n\"Elementary gates for quantum computation - Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, ...\",https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457?cm_mc_uid=43781767191014577577895&cm_mc_sid_50200000=1460741020,,Elementary gates for quantum computation,Unknown,\"Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, Norman Margolus, Peter Shor, Tycho Sleator, John A. Smolin, Harald Weinfurter\",Physical Review A,\n\"Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing - Andrew K. Tan, Yuan Liu, Minh C. Tran, Isaac L. Chuang\",https://arxiv.org/pdf/2301.08542.pdf,,\"Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of\n  Noisy Quantum Signal Processing\",\"The intrinsic probabilistic nature of quantum systems makes error correction\nor mitigation indispensable for quantum computation. While current\nerror-correcting strategies focus on correcting errors in quantum states or\nquantum gates, these fine-grained error-correction methods can incur\nsignificant overhead for quantum algorithms of increasing complexity. We\npresent a first step in achieving error correction at the level of quantum\nalgorithms by combining a unified perspective on modern quantum algorithms via\nquantum signal processing (QSP). An error model of under- or over-rotation of\nthe signal processing operator parameterized by $\\epsilon < 1$ is introduced.\nIt is shown that while Pauli $Z$-errors are not recoverable without additional\nresources, Pauli $X$ and $Y$ errors can be arbitrarily suppressed by coherently\nappending a noisy `recovery QSP.' Furthermore, it is found that a recovery QSP\nof length $O(2^k c^{k^2} d)$ is sufficient to correct any length-$d$ QSP with\n$c$ unique phases to $k^{th}$-order in error $\\epsilon$. Allowing an additional\nassumption, a lower bound of $\\Omega(cd)$ is shown, which is tight for $k = 1$,\non the length of the recovery sequence. Our algorithmic-level error correction\nmethod is applied to Grover's fixed-point search algorithm as a demonstration.\",\"Andrew K. Tan, Yuan Liu, Minh C. Tran, Isaac L. Chuang\",arXiv,quant-ph\nExperimental Estimation of Quantum State Properties from Classical Shadows,https://arxiv.org/abs/2008.05234,Measurement & State Estimation,\"Experimental Estimation of Quantum State Properties from Classical\n  Shadows\",\"Full quantum tomography of high-dimensional quantum systems is experimentally\ninfeasible due to the exponential scaling of the number of required\nmeasurements on the number of qubits in the system. However, several ideas were\nproposed recently for predicting the limited number of features for these\nstates, or estimating the expectation values of operators, without the need for\nfull state reconstruction. These ideas go under the general name of shadow\ntomography. Here we provide an experimental demonstration of property\nestimation based on classical shadows proposed in [H.-Y. Huang, R. Kueng, J.\nPreskill. Nat. Phys. https://doi.org/10.1038/s41567-020-0932-7 (2020)] and\nstudy its performance in the quantum optical experiment with high-dimensional\nspatial states of photons. We show on experimental data how this procedure\noutperforms conventional state reconstruction in fidelity estimation from a\nlimited number of measurements.\",\"G. I. Struchalin, Ya. A. Zagorovskii, E. V. Kovlakov, S. S. Straupe, S. P. Kulik\",arXiv,quant-ph\nExperimental demonstration of memory-enhanced quantum communication,https://arxiv.org/abs/1909.01323,Quantum Photonics,Experimental demonstration of memory-enhanced quantum communication,\"The ability to communicate quantum information over long distances is of\ncentral importance in quantum science and engineering. For example, it enables\nsecure quantum key distribution (QKD) relying on fundamental principles that\nprohibit the \"\"cloning\"\" of unknown quantum states. While QKD is being\nsuccessfully deployed, its range is currently limited by photon losses and\ncannot be extended using straightforward measure-and-repeat strategies without\ncompromising its unconditional security. Alternatively, quantum repeaters,\nwhich utilize intermediate quantum memory nodes and error correction\ntechniques, can extend the range of quantum channels. However, their\nimplementation remains an outstanding challenge, requiring a combination of\nefficient and high-fidelity quantum memories, gate operations, and\nmeasurements. Here we report the experimental realization of memory-enhanced\nquantum communication. We use a single solid-state spin memory integrated in a\nnanophotonic diamond resonator to implement asynchronous Bell-state\nmeasurements. This enables a four-fold increase in the secret key rate of\nmeasurement device independent (MDI)-QKD over the loss-equivalent\ndirect-transmission method while operating megahertz clock rates. Our results\nrepresent a significant step towards practical quantum repeaters and\nlarge-scale quantum networks.\",\"Mihir K. Bhaskar, Ralf Riedinger, Bartholomeus Machielse, David S. Levonian, Christian T. Nguyen, Erik N. Knall, Hongkun Park, Dirk Englund, Marko Lončar, Denis D. Sukachev, Mikhail D. Lukin\",arXiv,quant-ph\n\"Exponential speedups for quantum walks in random hierarchical graphs - Shankar Balasubramanian, Tongyang Li, and Aram Harrow\",https://arxiv.org/abs/2307.15062,,Exponential speedups for quantum walks in random hierarchical graphs,\"There are few known exponential speedups for quantum algorithms and these\ntend to fall into even fewer families. One speedup that has mostly resisted\ngeneralization is the use of quantum walks to traverse the welded-tree graph,\ndue to Childs, Cleve, Deotto, Farhi, Gutmann, and Spielman. We show how to\ngeneralize this to a large class of hierarchical graphs in which the vertices\nare grouped into \"\"supervertices\"\" which are arranged according to a\n$d$-dimensional lattice. Supervertices can have different sizes, and edges\nbetween supervertices correspond to random connections between their\nconstituent vertices.\n  The hitting times of quantum walks on these graphs are related to the\nlocalization properties of zero modes in certain disordered tight binding\nHamiltonians. The speedups range from superpolynomial to exponential, depending\non the underlying dimension and the random graph model. We also provide\nconcrete realizations of these hierarchical graphs, and introduce a general\nmethod for constructing graphs with efficient quantum traversal times using\ngraph sparsification.\",\"Shankar Balasubramanian, Tongyang Li, Aram Harrow\",arXiv,\"quant-ph, cond-mat.dis-nn, cond-mat.stat-mech, cond-mat.str-el\"\nFault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by Classical Error-Correcting Codes,https://arxiv.org/abs/1605.05647,Quantum Error Correction,\"Fault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by\n  Classical Error-Correcting Codes\",\"Stabilizer states are extensively studied in quantum information theory for\ntheir structures based on the Pauli group. Calderbank-Shor-Steane (CSS)\nstabilizer states are of particular importance in their application to\nfault-tolerant quantum computation (FTQC). However, how to fault-tolerantly\nprepare arbitrary CSS stabilizer states for general CSS stabilizer codes is\nstill unknown, and their preparation can be highly costly in computational\nresources. In this paper, we show how to prepare a large class of CSS\nstabilizer states useful for FTQC. We propose distillation protocols using\nsyndrome encoding by classical codes or quantum CSS codes. Along the same\nlines, we show that classical coding techniques can reduce the ancilla\nconsumption in Steane syndrome extraction by using additional transversal\ncontrolled-NOT gates and classical computing power. In the scenario of a fixed\nancilla consumption rate, we can increase the frequency of quantum error\ncorrection and effectively lower the error rate.\",\"Ching-Yi Lai, Yi-Cong Zheng, Todd A. Brun\",arXiv,quant-ph\nField-Deployable Quantum Memory for Quantum Networking,https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.044058,Quantum Memories,Field-Deployable Quantum Memory for Quantum Networking,Unknown,\"Yang Wang, Alexander N. Craddock, Rourke Sekelsky, Mael Flament, Mehdi Namazi\",Physical Review Applied,\nFive open problems in theory of quantum information,https://arxiv.org/abs/2002.03233,Quantum Information Theory,Five open problems in quantum information,\"We identify five selected open problems in the theory of quantum information,\nwhich are rather simple to formulate, were well-studied in the literature, but\nare technically not easy. As these problems enjoy diverse mathematical\nconnections, they offer a huge breakthrough potential. The first four concern\nexistence of certain objects relevant for quantum information, namely a family\nof symmetric informationally complete generalized measurements in an infinite\nsequence of dimensions, mutually unbiased bases in dimension six, absolutely\nmaximally entangled states for four subsystems with six levels each and bound\nentangled states with negative partial transpose. The fifth problem requires\nchecking whether a certain state of a two-ququart system is 2-copy distillable.\nAn award for solving each of them is announced.\",\"Paweł Horodecki, Łukasz Rudnicki, Karol Życzkowski\",arXiv,quant-ph\nFoundations for Near-Term Quantum Natural Language Processing,https://arxiv.org/abs/2012.03755,Natural Language Processing & Quantum Computing,Foundations for Near-Term Quantum Natural Language Processing,\"We provide conceptual and mathematical foundations for near-term quantum\nnatural language processing (QNLP), and do so in quantum computer scientist\nfriendly terms. We opted for an expository presentation style, and provide\nreferences for supporting empirical evidence and formal statements concerning\nmathematical generality.\n  We recall how the quantum model for natural language that we employ\ncanonically combines linguistic meanings with rich linguistic structure, most\nnotably grammar. In particular, the fact that it takes a quantum-like model to\ncombine meaning and structure, establishes QNLP as quantum-native, on par with\nsimulation of quantum systems. Moreover, the now leading Noisy\nIntermediate-Scale Quantum (NISQ) paradigm for encoding classical data on\nquantum hardware, variational quantum circuits, makes NISQ exceptionally\nQNLP-friendly: linguistic structure can be encoded as a free lunch, in contrast\nto the apparently exponentially expensive classical encoding of grammar.\n  Quantum speed-up for QNLP tasks has already been established in previous work\nwith Will Zeng. Here we provide a broader range of tasks which all enjoy the\nsame advantage.\n  Diagrammatic reasoning is at the heart of QNLP. Firstly, the quantum model\ninterprets language as quantum processes via the diagrammatic formalism of\ncategorical quantum mechanics. Secondly, these diagrams are via ZX-calculus\ntranslated into quantum circuits. Parameterisations of meanings then become the\ncircuit variables to be learned.\n  Our encoding of linguistic structure within quantum circuits also embodies a\nnovel approach for establishing word-meanings that goes beyond the current\nstandards in mainstream AI, by placing linguistic structure at the heart of\nWittgenstein's meaning-is-context.\",\"Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi\",arXiv,\"quant-ph, cs.CL\"\nFundamental Principle of Information-to-Energy Conversion - Antonio Alfonso-Faus,https://arxiv.org/abs/1401.6052,,Fundamental Principle of Information-to-Energy Conversion,\"The equivalence of 1 bit of information to entropy was given by Landauer in\n1961 as kln2, k the Boltzmann constant. Erasing information implies heat\ndissipation and the energy of 1 bit would then be (the Landauers limit) kT ln\n2, T being the ambient temperature. From a quantum-cosmological point of view\nthe minimum quantum of energy in the universe corresponds today to a\ntemperature of 10^(-29) degrees K, probably forming a cosmic background of a\nBose condensate [1]. Then, the bit with minimum energy today in the Universe is\na quantum of energy 10^(-45)ergs, with an equivalent mass of 10^(-66)g. Low\ntemperature implies low energy per bit and, of course, this is the way for\nfaster and less energy dissipating computing devices. Our conjecture is this:\nthe possibility of a future access to the CBBC (a coupling/channeling?) would\nmean a huge jump in the performance of these devices.\",Antonio Alfonso-Faus,arXiv,physics.gen-ph\nFusion-based quantum computation,https://arxiv.org/abs/2101.09310,Quantum Photonics,Fusion-based quantum computation,\"We introduce fusion-based quantum computing (FBQC) - a model of universal\nquantum computation in which entangling measurements, called fusions, are\nperformed on the qubits of small constant-sized entangled resource states. We\nintroduce a stabilizer formalism for analyzing fault tolerance and computation\nin these schemes. This framework naturally captures the error structure that\narises in certain physical systems for quantum computing, such as photonics.\nFBQC can offer significant architectural simplifications, enabling hardware\nmade up of many identical modules, requiring an extremely low depth of\noperations on each physical qubit and reducing classical processing\nrequirements. We present two pedagogical examples of fault-tolerant schemes\nconstructed in this framework and numerically evaluate their threshold under a\nhardware agnostic fusion error model including both erasure and Pauli error. We\nalso study an error model of linear optical quantum computing with\nprobabilistic fusion and photon loss. In FBQC the non-determinism of fusion is\ndirectly dealt with by the quantum error correction protocol, along with other\nerrors. We find that tailoring the fault-tolerance framework to the physical\nsystem allows the scheme to have a higher threshold than schemes reported in\nliterature. We present a ballistic scheme which can tolerate a 10.4%\nprobability of suffering photon loss in each fusion.\",\"Sara Bartolucci, Patrick Birchall, Hector Bombin, Hugo Cable, Chris Dawson, Mercedes Gimeno-Segovia, Eric Johnston, Konrad Kieling, Naomi Nickerson, Mihir Pant, Fernando Pastawski, Terry Rudolph, Chris Sparrow\",arXiv,quant-ph\nGate Set Tomography,https://arxiv.org/abs/2009.07301,Programmable Quantum Gates,Gate Set Tomography,\"Gate set tomography (GST) is a protocol for detailed, predictive\ncharacterization of logic operations (gates) on quantum computing processors.\nEarly versions of GST emerged around 2012-13, and since then it has been\nrefined, demonstrated, and used in a large number of experiments. This paper\npresents the foundations of GST in comprehensive detail. The most important\nfeature of GST, compared to older state and process tomography protocols, is\nthat it is calibration-free. GST does not rely on pre-calibrated state\npreparations and measurements. Instead, it characterizes all the operations in\na gate set simultaneously and self-consistently, relative to each other. Long\nsequence GST can estimate gates with very high precision and efficiency,\nachieving Heisenberg scaling in regimes of practical interest. In this paper,\nwe cover GST's intellectual history, the techniques and experiments used to\nachieve its intended purpose, data analysis, gauge freedom and fixing, error\nbars, and the interpretation of gauge-fixed estimates of gate sets. Our focus\nis fundamental mathematical aspects of GST, rather than implementation details,\nbut we touch on some of the foundational algorithmic tricks used in the pyGSTi\nimplementation.\",\"Erik Nielsen, John King Gamble, Kenneth Rudinger, Travis Scholten, Kevin Young, Robin Blume-Kohout\",arXiv,quant-ph\n\"High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides - Jie Zhao, Chaoxuan Ma, Michael Rüsing, and Shayan Mookherjea\",https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.163603,,High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides,Unknown,\"Jie Zhao, Chaoxuan Ma, Michael Rüsing, Shayan Mookherjea\",Physical Review Letters,\nImplementation of multidimensional quantum walks using linear optics and classical light,https://journals.aps.org/pra/abstract/10.1103/PhysRevA.92.040302,Experimental Simulating Tools,Implementation of multidimensional quantum walks using linear optics and classical light,Unknown,\"Sandeep K. Goyal, Filippus S. Roux, Andrew Forbes, Thomas Konrad\",Physical Review A,\n\"Interference in Quantum Field Theory: Detecting Ghosts with Phases - Chiara Marletto, Vlatko Vedral\",https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202200530,,Interference in Quantum Field Theory: Detecting Ghosts with Phases,\"AbstractThis study discusses the implications of the principle of locality for interference in quantum field theory. As an example, it considers the interaction of two charges via a mediating quantum field and the resulting interference pattern in the Lorenz gauge. Using the Heisenberg picture, it is proposed that detecting relative phases or entanglement between two charges in an interference experiment is equivalent to accessing empirically the gauge degrees of freedom associated with the so‐called ghost (scalar) modes of the field in the Lorenz gauge. These results imply that ghost modes are measurable and hence physically relevant, contrary to what is usually thought. They also raise interesting questions about the relation between the principle of locality and the principle of gauge‐invariance. This analysis also applies to linearized quantum gravity in the harmonic gauge, and hence has implications for the recently proposed entanglement‐based witnesses of non‐classicality in gravity.\",\"Chiara Marletto, Vlatko Vedral\",Annalen der Physik,\nIs quantum computing green? An estimate for an energy-efficiency quantum advantage,https://arxiv.org/pdf/2205.12092.pdf,Quantum Markets and Hype,\"Is quantum computing green? An estimate for an energy-efficiency quantum\n  advantage\",\"The quantum advantage threshold determines when a quantum processing unit\n(QPU) is more efficient with respect to classical computing hardware in terms\nof algorithmic complexity. The \"\"green\"\" quantum advantage threshold $-$ based on\na comparison of energetic efficiency between the two $-$ is going to play a\nfundamental role in the comparison between quantum and classical hardware.\nIndeed, its characterization would enable better decisions on energy-saving\nstrategies, e.g. for distributing the workload in hybrid quantum-classical\nalgorithms. Here, we show that the green quantum advantage threshold crucially\ndepends on (i) the quality of the experimental quantum gates and (ii) the\nentanglement generated in the QPU. Indeed, for NISQ hardware and algorithms\nrequiring a moderate amount of entanglement, a classical tensor network\nemulation can be more energy-efficient at equal final state fidelity than\nquantum computation. We compute the green quantum advantage threshold for a few\nparadigmatic examples in terms of algorithms and hardware platforms, and\nidentify algorithms with a power-law decay of singular values of bipartitions\n$-$ with power-law exponent $\\alpha \\lesssim 1$ $-$ as the green quantum\nadvantage threshold in the near future.\",\"Daniel Jaschke, Simone Montangero\",arXiv,quant-ph\n\"Large-scale optical characterization of solid-state quantum emitters - Madison Sutula, et. al.\",https://arxiv.org/pdf/2210.13643.pdf,,Large-scale optical characterization of solid-state quantum emitters,\"Solid-state quantum emitters have emerged as a leading quantum memory for\nquantum networking applications. However, standard optical characterization\ntechniques are neither efficient nor repeatable at scale. In this work, we\nintroduce and demonstrate spectroscopic techniques that enable large-scale,\nautomated characterization of color centers. We first demonstrate the ability\nto track color centers by registering them to a fabricated machine-readable\nglobal coordinate system, enabling systematic comparison of the same color\ncenter sites over many experiments. We then implement resonant\nphotoluminescence excitation in a widefield cryogenic microscope to parallelize\nresonant spectroscopy, achieving two orders of magnitude speed-up over confocal\nmicroscopy. Finally, we demonstrate automated chip-scale characterization of\ncolor centers and devices at room temperature, imaging thousands of microscope\nfields of view. These tools will enable accelerated identification of useful\nquantum emitters at chip-scale, enabling advances in scaling up color center\nplatforms for quantum information applications, materials science, and device\ndesign and characterization.\",\"Madison Sutula, Ian Christen, Eric Bersin, Michael P. Walsh, Kevin C. Chen, Justin Mallek, Alexander Melville, Michael Titze, Edward S. Bielejec, Scott Hamilton, Danielle Braje, P. Benjamin Dixon, Dirk R. Englund\",arXiv,\"quant-ph, cond-mat.mtrl-sci, physics.optics\"\nLocality in the Schrodinger Picture of Quantum Mechanics - Vlatko Vedral,https://arxiv.org/pdf/2312.04701.pdf,,Locality in the Schroedinger Picture of Quantum Mechanics,\"We explain how the so-called Einstein locality is to be understood in the\nSchr\\\"\"odinger picture of quantum mechanics. This notion is perfectly compatible\nwith the Bell non-locality exhibited by entangled states. Contrary to some\nbeliefs that quantum mechanics is incomplete, it is, in fact, its\novercompleteness as exemplified by different pictures of quantum physics, that\npoints to the same underlying reality.\",Vlatko Vedral,arXiv,quant-ph\nMicrowave Quantum Memristors,https://arxiv.org/abs/2311.06925,Novel Quantum Devices,Microwave Quantum Memcapacitor Effect,\"Developing the field of neuromorphic quantum computing necessitates designing\nscalable quantum memory devices. Here, we propose a superconducting quantum\nmemory device in the microwave regime, termed as a microwave quantum\nmemcapacitor. It comprises two linked resonators, the primary one is coupled to\na Superconducting Quantum Interference Device, which allows for the modulation\nof the resonator properties through external magnetic flux. The auxiliary\nresonator, operated through weak measurements, provides feedback to the primary\nresonator, ensuring stable memory behaviour. This device operates with a\nclassical input in one cavity while reading the response in the other, serving\nas a fundamental building block toward arrays of microwave quantum\nmemcapacitors. We observe that a bipartite setup can retain its memory\nbehaviour and gains entanglement and quantum correlations. Our findings pave\nthe way for the experimental implementation of memcapacitive superconducting\nquantum devices and memory device arrays for neuromorphic quantum computing.\",\"X. -Y. Qiu, S. Kumar, F. A. Cárdenas-López, G. Alvarado Barrios, E. Solano, F. Albarrán-Arriagada\",arXiv,\"quant-ph, cond-mat.supr-con\"\nMitigating the quantum hype - Olivier Ezratty,https://arxiv.org/abs/2202.01925,,Mitigating the quantum hype,\"We are in the midst of quantum hype with some excessive claims of quantum\ncomputing potential, many vendors' and even some research organizations'\nexaggerations, and a funding frenzy for very low technology readiness level\nstartups. Governments are contributing to this hype with their large quantum\ninitiatives and their technology sovereignty aspirations. Technology hypes are\nnot bad per se since they create emulation, drive innovations and also\ncontribute to attracting new talents. It works as scientists and vendors\ndeliver progress and innovation on a continuous basis after a so-called peak of\nexpectations. It fails with exaggerated overpromises and underdeliveries that\nlast too long. It could cut short research and innovation funding, creating\nsome sort of quantum winter. After looking at the shape and form of technology\nand science hypes and driving some lessons from past hypes, we investigate the\ncurrent quantum hype and its specifics. We find that, although there is some\nsignificant uncertainty on the potential to create real scalable quantum\ncomputers, the scientific and vendor fields are relatively sane and solid\ncompared to other technology hypes. The vendors hype has some profound and\ndisruptive impact on the organization of fundamental research. Also, quantum\ntechnologies comprise other fields like quantum telecommunications and quantum\nsensing with a higher technology readiness level, which are less prone to hype.\nWe then make some proposals to mitigate the potential negative effects of the\ncurrent quantum hype including recommendations on scientific communication to\nstrengthen the trust in quantum science, vendor behavior improvements,\nbenchmarking methodologies, public education and putting in place a responsible\nresearch and innovation approach.\",Olivier Ezratty,arXiv,\"physics.soc-ph, physics.hist-ph, quant-ph\"\n\"Mitiq: A software package for error mitigation on noisy quantum computers - Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, ...\",https://arxiv.org/abs/2009.04417,,\"Mitiq: A software package for error mitigation on noisy quantum\n  computers\",\"We introduce Mitiq, a Python package for error mitigation on noisy quantum\ncomputers. Error mitigation techniques can reduce the impact of noise on\nnear-term quantum computers with minimal overhead in quantum resources by\nrelying on a mixture of quantum sampling and classical post-processing\ntechniques. Mitiq is an extensible toolkit of different error mitigation\nmethods, including zero-noise extrapolation, probabilistic error cancellation,\nand Clifford data regression. The library is designed to be compatible with\ngeneric backends and interfaces with different quantum software frameworks. We\ndescribe Mitiq using code snippets to demonstrate usage and discuss features\nand contribution guidelines. We present several examples demonstrating error\nmitigation on IBM and Rigetti superconducting quantum processors as well as on\nnoisy simulators.\",\"Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, Piotr Czarnik, Mohamed El Mandouh, Max H. Gordon, Yousef Hindy, Aaron Robertson, Purva Thakre, Misty Wahl, Danny Samuel, Rahul Mistri, Maxime Tremblay, Nick Gardner, Nathaniel T. Stemen, Nathan Shammah, William J. Zeng\",arXiv,\"quant-ph, cs.ET\"\n\"Multi-state quantum simulations via model-space quantum imaginary time evolution - Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro L. Ten-no\",https://arxiv.org/abs/2206.04494,,\"Multi-state quantum simulations via model-space quantum imaginary time\n  evolution\",\"We introduce the framework of model space into quantum imaginary time\nevolution (QITE) to enable stable estimation of ground and excited states using\na quantum computer. Model-space QITE (MSQITE) propagates a model space to the\nexact one by retaining its orthogonality, and hence is able to describe\nmultiple states simultaneously. The quantum Lanczos (QLanczos) algorithm is\nextended to MSQITE to accelerate the convergence. The present scheme is found\nto outperform both the standard QLanczos and the recently proposed\nfolded-spectrum QITE in simulating excited states. Moreover, we demonstrate\nthat spin contamination can be effectively removed by shifting the imaginary\ntime propagator, and thus excited states with a particular spin quantum number\nare efficiently captured without falling into the different spin states that\nhave lower energies. We also investigate how different levels of the unitary\napproximation employed in MSQITE can affect the results. The effectiveness of\nthe algorithm over QITE is demonstrated by noise simulations for the H4 model\nsystem.\",\"Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro L. Ten-no\",arXiv,\"quant-ph, cond-mat.str-el, physics.chem-ph\"\n\"Multiplexed quantum repeaters based on dual-species trapped-ion systems - Prajit Dhara, Norbert M. Linke, Edo Waks, Saikat Guha, Kaushik P. Seshadreesan\",https://arxiv.org/abs/2105.06707,,Multiplexed quantum repeaters based on dual-species trapped-ion systems,\"Trapped ions form an advanced technology platform for quantum information\nprocessing with long qubit coherence times, high-fidelity quantum logic gates,\noptically active qubits, and a potential to scale up in size while preserving a\nhigh level of connectivity between qubits. These traits make them attractive\nnot only for quantum computing but also for quantum networking. Dedicated,\nspecial-purpose trapped-ion processors in conjunction with suitable\ninterconnecting hardware can be used to form quantum repeaters that enable\nhigh-rate quantum communications between distant trapped-ion quantum computers\nin a network. In this regard, hybrid traps with two distinct species of ions,\nwhere one ion species can generate ion-photon entanglement that is useful for\noptically interfacing with the network and the other has long memory lifetimes,\nuseful for qubit storage, have been proposed for entanglement distribution. We\nconsider an architecture for a repeater based on such dual-species trapped-ion\nsystems. We propose and analyze a protocol based on spatial and temporal mode\nmultiplexing for entanglement distribution across a line network of such\nrepeaters. Our protocol offers enhanced rates compared to rates previously\nreported for such repeaters. We determine the ion resources required at the\nrepeaters to attain the enhanced rates, and the best rates attainable when\nconstraints are placed on the number of repeaters and the number of ions per\nrepeater. Our results bolster the case for near-term trapped-ion systems as\nquantum repeaters for long-distance quantum communications.\",\"Prajit Dhara, Norbert M. Linke, Edo Waks, Saikat Guha, Kaushik P. Seshadreesan\",arXiv,quant-ph\n\"NetSquid, a NETwork Simulator for QUantum Information using Discrete events - Tim Coopmans, Robert Knegjens, Axel Dahlberg, David Maier, Loek Nijsten, ...\",https://arxiv.org/abs/2010.12535,,\"NetSquid, a NETwork Simulator for QUantum Information using Discrete\n  events\",\"In order to bring quantum networks into the real world, we would like to\ndetermine the requirements of quantum network protocols including the\nunderlying quantum hardware. Because detailed architecture proposals are\ngenerally too complex for mathematical analysis, it is natural to employ\nnumerical simulation. Here we introduce NetSquid, the NETwork Simulator for\nQUantum Information using Discrete events, a discrete-event based platform for\nsimulating all aspects of quantum networks and modular quantum computing\nsystems, ranging from the physical layer and its control plane up to the\napplication level. We study several use cases to showcase NetSquid's power,\nincluding detailed physical layer simulations of repeater chains based on\nnitrogen vacancy centres in diamond as well as atomic ensembles. We also study\nthe control plane of a quantum switch beyond its analytically known regime, and\nshowcase NetSquid's ability to investigate large networks by simulating\nentanglement distribution over a chain of up to one thousand nodes.\",\"Tim Coopmans, Robert Knegjens, Axel Dahlberg, David Maier, Loek Nijsten, Julio de Oliveira Filho, Martijn Papendrecht, Julian Rabbie, Filip Rozpędek, Matthew Skrzypczyk, Leon Wubben, Walter de Jong, Damian Podareanu, Ariana Torres-Knoop, David Elkouss, Stephanie Wehner\",arXiv,quant-ph\nNoisy dynamical systems evolve error correcting codes and modularity,https://arxiv.org/pdf/2303.14448.pdf,Quantum Error Mitigation,Noisy dynamical systems evolve error correcting codes and modularity,\"Noise is a ubiquitous feature of the physical world. As a result, the first\nprerequisite of life is fault tolerance: maintaining integrity of state despite\nexternal bombardment. Recent experimental advances have revealed that\nbiological systems achieve fault tolerance by implementing mathematically\nintricate error-correcting codes and by organizing in a modular fashion that\nphysically separates functionally distinct subsystems. These elaborate\nstructures represent a vanishing volume in the massive genetic configuration\nspace. How is it possible that the primitive process of evolution, by which all\nbiological systems evolved, achieved such unusual results? In this work,\nthrough experiments in Boolean networks, we show that the simultaneous presence\nof error correction and modularity in biological systems is no coincidence.\nRather, it is a typical co-occurrence in noisy dynamic systems undergoing\nevolution. From this, we deduce the principle of error correction enhanced\nevolvability: systems possessing error-correcting codes are more effectively\nimproved by evolution than those without.\",\"Trevor McCourt, Ila R. Fiete, Isaac L. Chuang\",arXiv,\"q-bio.PE, nlin.AO, q-bio.NC\"\n\"Observable Thermalization: Theory, Numerical and Analytical Evidence\",https://arxiv.org/pdf/2309.15173.pdf,Commercial and Philosophical Views,Observable Statistical Mechanics,\"Understanding equilibration and thermalization in isolated many-body quantum\nsystems is a central challenge in quantum physics. The traditional approach\nfocuses on the study of the full state of the quantum system which, at\nequilibrium, is best described by the Diagonal Ensemble. Here, we present\nObservable Statistical Mechanics, a novel paradigm that shifts attention from\nthe full quantum state to the statistics of measurement outcomes. This approach\nis grounded in the Maximum Observable Entropy Principle, positing that\nequilibrium measurement statistics tend to maximize observable entropy under\nconserved average energy. By focusing on accessible measurements, the theory\naccurately predicts equilibrium probability distributions without needing\ndetailed microscopic information like the energy eigenstates. Extensive\nnumerical experiments on 7 spin-1/2 Hamiltonians demonstrate the broad\napplicability and robustness of this framework.\",\"Lodovico Scarpa, Abdulla Alhajri, Vlatko Vedral, Fabio Anza\",arXiv,\"quant-ph, cond-mat.stat-mech\"\nOn Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification,https://arxiv.org/abs/2109.09484,Quantum Machine Learning (QML),\"On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing\n  Imagery Classification\",\"This article aims to investigate how circuit-based hybrid Quantum\nConvolutional Neural Networks (QCNNs) can be successfully employed as image\nclassifiers in the context of remote sensing. The hybrid QCNNs enrich the\nclassical architecture of CNNs by introducing a quantum layer within a standard\nneural network. The novel QCNN proposed in this work is applied to the Land Use\nand Land Cover (LULC) classification, chosen as an Earth Observation (EO) use\ncase, and tested on the EuroSAT dataset used as reference benchmark. The\nresults of the multiclass classification prove the effectiveness of the\npresented approach, by demonstrating that the QCNN performances are higher than\nthe classical counterparts. Moreover, investigation of various quantum circuits\nshows that the ones exploiting quantum entanglement achieve the best\nclassification scores. This study underlines the potentialities of applying\nquantum computing to an EO case study and provides the theoretical and\nexperimental background for futures investigations.\",\"Alessandro Sebastianelli, Daniela A. Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo\",arXiv,\"eess.IV, cs.CV, cs.ET, quant-ph\"\n\"One-Dimensional Quantum Walks - Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, John Watrous\",https://dl.acm.org/doi/10.1145/380752.380757,,One-dimensional quantum walks,Unknown,\"Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, John Watrous\",Proceedings of the thirty-third annual ACM symposium on Theory of computing,\n\"Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction - Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen, Vladimir Rastunkov, Vanio Markov\",https://arxiv.org/abs/2303.05488,,\"Optimizing quantum noise-induced reservoir computing for nonlinear and\n  chaotic time series prediction\",\"Quantum reservoir computing is strongly emerging for sequential and time\nseries data prediction in quantum machine learning. We make advancements to the\nquantum noise-induced reservoir, in which reservoir noise is used as a resource\nto generate expressive, nonlinear signals that are efficiently learned with a\nsingle linear output layer. We address the need for quantum reservoir tuning\nwith a novel and generally applicable approach to quantum circuit\nparameterization, in which tunable noise models are programmed to the quantum\nreservoir circuit to be fully controlled for effective optimization. Our\nsystematic approach also involves reductions in quantum reservoir circuits in\nthe number of qubits and entanglement scheme complexity. We show that with only\na single noise model and small memory capacities, excellent simulation results\nwere obtained on nonlinear benchmarks that include the Mackey-Glass system for\n100 steps ahead in the challenging chaotic regime.\",\"Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen, Vladimir Rastunkov, Vanio Markov\",arXiv,quant-ph\nOption Pricing using Quantum Computers,https://arxiv.org/abs/1905.02666,Quantum Machine Learning (QML),Option Pricing using Quantum Computers,\"We present a methodology to price options and portfolios of options on a\ngate-based quantum computer using amplitude estimation, an algorithm which\nprovides a quadratic speedup compared to classical Monte Carlo methods. The\noptions that we cover include vanilla options, multi-asset options and\npath-dependent options such as barrier options. We put an emphasis on the\nimplementation of the quantum circuits required to build the input states and\noperators needed by amplitude estimation to price the different option types.\nAdditionally, we show simulation results to highlight how the circuits that we\nimplement price the different option contracts. Finally, we examine the\nperformance of option pricing circuits on quantum hardware using the IBM Q\nTokyo quantum device. We employ a simple, yet effective, error mitigation\nscheme that allows us to significantly reduce the errors arising from noisy\ntwo-qubit gates.\",\"Nikitas Stamatopoulos, Daniel J. Egger, Yue Sun, Christa Zoufal, Raban Iten, Ning Shen, Stefan Woerner\",arXiv,quant-ph\nPaving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment,https://arxiv.org/abs/2202.07764,Quantum Communication & Cryptography,\"Paving the Way towards 800 Gbps Quantum-Secured Optical Channel\n  Deployment in Mission-Critical Environments\",\"This article describes experimental research studies conducted towards\nunderstanding the implementation aspects of high-capacity quantum-secured\noptical channels in mission-critical metro-scale operational environments using\nQuantum Key Distribution (QKD) technology. To the best of our knowledge, this\nis the first time that an 800 Gbps quantum-secured optical channel -- along\nwith several other Dense Wavelength Division Multiplexed (DWDM) channels on the\nC-band and multiplexed with the QKD channel on the O-band -- was established at\ndistances up to 100 km, with secret key-rates relevant for practical industry\nuse cases. In addition, during the course of these trials, transporting a\nblockchain application over this established channel was utilized as a\ndemonstration of securing a financial transaction in transit over a\nquantum-secured optical channel. The findings of this research pave the way\ntowards the deployment of QKD-secured optical channels in high-capacity,\nmetro-scale, mission-critical operational environments, such as Inter-Data\nCenter Interconnects.\",\"Marco Pistoia, Omar Amer, Monik R. Behera, Joseph A. Dolphin, James F. Dynes, Benny John, Paul A. Haigh, Yasushi Kawakura, David H. Kramer, Jeffrey Lyon, Navid Moazzami, Tulasi D. Movva, Antigoni Polychroniadou, Suresh Shetty, Greg Sysak, Farzam Toudeh-Fallah, Sudhir Upadhyay, Robert I. Woodward, Andrew J. Shields\",arXiv,\"quant-ph, cs.CR, cs.NI, physics.optics\"\n\"Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer via parity detection - Dong Li, Bryan T. Gard, Yang Gao3, Chun-Hua Yuan1, Weiping Zhang1, Hwang Lee, Jonathan P. Dowling\",https://arxiv.org/abs/1603.09019,,\"Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer\n  via parity detection\",\"We theoretically investigate the phase sensitivity with parity detection on\nan SU(1,1) interferometer with a coherent state combined with a squeezed vacuum\nstate. This interferometer is formed with two parametric amplifiers for beam\nsplitting and recombination instead of beam splitters. We show that the\nsensitivity of estimation phase approaches Heisenberg limit and give the\ncorresponding optimal condition. Moreover, we derive the quantum Cram\\'er-Rao\nbound of the SU(1,1) interferometer.\",\"Dong Li, Bryan T. Gard, Yang Gao, Chun-Hua Yuan, Weiping Zhang, Hwang Lee, Jonathan P. Dowling\",arXiv,quant-ph\n\"Power of sequential protocols in hidden quantum channel discrimination - Sho Sugiura, et.al\",https://arxiv.org/pdf/2304.02053.pdf,,Power of sequential protocols in hidden quantum channel discrimination,\"In many natural and engineered systems, unknown quantum channels act on a\nsubsystem that cannot be directly controlled and measured, but is instead\nlearned through a controllable subsystem that weakly interacts with it. We\nstudy quantum channel discrimination (QCD) under these restrictions, which we\ncall hidden system QCD (HQCD). We find that sequential protocols achieve\nperfect discrimination and saturate the Heisenberg limit. In contrast, depth-1\nparallel and multi-shot protocols cannot solve HQCD. This suggests that\nsequential protocols are superior in experimentally realistic situations.\",\"Sho Sugiura, Arkopal Dutt, William J. Munro, Sina Zeytinoğlu, Isaac L. Chuang\",arXiv,quant-ph\nPractical Benchmarking of Randomized Measurement Methods for Quantum Chemistry Hamiltonians,https://arxiv.org/pdf/2312.07497.pdf,Measurement & State Estimation,\"Practical Benchmarking of Randomized Measurement Methods for Quantum\n  Chemistry Hamiltonians\",\"Many hybrid quantum-classical algorithms for the application of ground state\nenergy estimation in quantum chemistry involve estimating the expectation value\nof a molecular Hamiltonian with respect to a quantum state through measurements\non a quantum device. To guide the selection of measurement methods designed for\nthis observable estimation problem, we propose a benchmark called CSHOREBench\n(Common States and Hamiltonians for ObseRvable Estimation Benchmark) that\nassesses the performance of these methods against a set of common molecular\nHamiltonians and common states encountered during the runtime of hybrid\nquantum-classical algorithms. In CSHOREBench, we account for resource\nutilization of a quantum computer through measurements of a prepared state, and\na classical computer through computational runtime spent in proposing\nmeasurements and classical post-processing of acquired measurement outcomes. We\napply CSHOREBench considering a variety of measurement methods on Hamiltonians\nof size up to 16 qubits. Our discussion is aided by using the framework of\ndecision diagrams which provides an efficient data structure for various\nrandomized methods and illustrate how to derandomize distributions on decision\ndiagrams. In numerical simulations, we find that the methods of decision\ndiagrams and derandomization are the most preferable. In experiments on IBM\nquantum devices against small molecules, we observe that decision diagrams\nreduces the number of measurements made by classical shadows by more than 80%,\nthat made by locally biased classical shadows by around 57%, and consistently\nrequire fewer quantum measurements along with lower classical computational\nruntime than derandomization. Furthermore, CSHOREBench is empirically efficient\nto run when considering states of random quantum ansatz with fixed depth.\",\"Arkopal Dutt, William Kirby, Rudy Raymond, Charles Hadfield, Sarah Sheldon, Isaac L. Chuang, Antonio Mezzacapo\",arXiv,quant-ph\nPractical randomness and privacy amplification,https://arxiv.org/abs/2009.06551,Quantum Protocol Design,\"Practical randomness amplification and privatisation with\n  implementations on quantum computers\",\"We present an end-to-end and practical randomness amplification and\nprivatisation protocol based on Bell tests. This allows the building of\ndevice-independent random number generators which output (near-)perfectly\nunbiased and private numbers, even if using an uncharacterised quantum device\npotentially built by an adversary. Our generation rates are linear in the\nrepetition rate of the quantum device and the classical randomness\npost-processing has quasi-linear complexity - making it efficient on a standard\npersonal laptop. The statistical analysis is also tailored for real-world\nquantum devices.\n  Our protocol is then showcased on several different quantum computers.\nAlthough not purposely built for the task, we show that quantum computers can\nrun faithful Bell tests by adding minimal assumptions. In this\nsemi-device-independent manner, our protocol generates (near-)perfectly\nunbiased and private random numbers on today's quantum computers.\",\"Cameron Foreman, Sherilyn Wright, Alec Edgington, Mario Berta, Florian J. Curchod\",arXiv,quant-ph\nPredicting Many Properties of a Quantum System from Very Few Measurements,https://arxiv.org/abs/2002.08953,Experimental Simulating Tools,\"Predicting Many Properties of a Quantum System from Very Few\n  Measurements\",\"Predicting properties of complex, large-scale quantum systems is essential\nfor developing quantum technologies. We present an efficient method for\nconstructing an approximate classical description of a quantum state using very\nfew measurements of the state. This description, called a classical shadow, can\nbe used to predict many different properties: order $\\log M$ measurements\nsuffice to accurately predict $M$ different functions of the state with high\nsuccess probability. The number of measurements is independent of the system\nsize, and saturates information-theoretic lower bounds. Moreover, target\nproperties to predict can be selected after the measurements are completed. We\nsupport our theoretical findings with extensive numerical experiments. We apply\nclassical shadows to predict quantum fidelities, entanglement entropies,\ntwo-point correlation functions, expectation values of local observables, and\nthe energy variance of many-body local Hamiltonians. The numerical results\nhighlight the advantages of classical shadows relative to previously known\nmethods.\",\"Hsin-Yuan Huang, Richard Kueng, John Preskill\",arXiv,\"quant-ph, cs.IT, cs.LG, math.IT\"\n\"Programmable Heisenberg interactions between Floquet qubits - Long B. Nguyen, Yosep Kim, Akel Hashim, Noah Goss, Brian Marinelli, ...\",https://arxiv.org/abs/2211.10383,,Programmable Heisenberg interactions between Floquet qubits,\"The fundamental trade-off between robustness and tunability is a central\nchallenge in the pursuit of quantum simulation and fault-tolerant quantum\ncomputation. In particular, many emerging quantum architectures are designed to\nachieve high coherence at the expense of having fixed spectra and consequently\nlimited types of controllable interactions. Here, by adiabatically transforming\nfixed-frequency superconducting circuits into modifiable Floquet qubits, we\ndemonstrate an XXZ Heisenberg interaction with fully adjustable anisotropy.\nThis interaction model is on one hand the basis for many-body quantum\nsimulation of spin systems, and on the other hand the primitive for an\nexpressive quantum gate set. To illustrate the robustness and versatility of\nour Floquet protocol, we tailor the Heisenberg Hamiltonian and implement\ntwo-qubit iSWAP, CZ, and SWAP gates with estimated fidelities of 99.32(3)%,\n99.72(2)%, and 98.93(5)%, respectively. In addition, we implement a Heisenberg\ninteraction between higher energy levels and employ it to construct a\nthree-qubit CCZ gate with a fidelity of 96.18(5)%. Importantly, the protocol is\napplicable to various fixed-frequency high-coherence platforms, thereby\nunlocking a suite of essential interactions for high-performance quantum\ninformation processing. From a broader perspective, our work provides\ncompelling avenues for future exploration of quantum electrodynamics and\noptimal control using the Floquet framework.\",\"Long B. Nguyen, Yosep Kim, Akel Hashim, Noah Goss, Brian Marinelli, Bibek Bhandari, Debmalya Das, Ravi K. Naik, John Mark Kreikebaum, Andrew N. Jordan, David I. Santiago, Irfan Siddiqi\",arXiv,\"quant-ph, cond-mat.supr-con, physics.app-ph\"\nProposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics,https://arxiv.org/abs/2012.06687,Quantum Repeater Architectures,\"Proposal for room-temperature quantum repeaters with nitrogen-vacancy\n  centers and optomechanics\",\"We propose a quantum repeater architecture that can operate under ambient\nconditions. Our proposal builds on recent progress towards non-cryogenic\nspin-photon interfaces based on nitrogen-vacancy centers, which have excellent\nspin coherence times even at room temperature, and optomechanics, which allows\nto avoid phonon-related decoherence and also allows the emitted photons to be\nin the telecom band. We apply the photon number decomposition method to\nquantify the fidelity and the efficiency of entanglement established between\ntwo remote electron spins. We describe how the entanglement can be stored in\nnuclear spins and extended to long distances via quasi-deterministic\nentanglement swapping operations involving the electron and nuclear spins. We\nfurthermore propose schemes to achieve high-fidelity readout of the spin states\nat room temperature using the spin-optomechanics interface. Our work shows that\nlong-distance quantum networks made of solid-state components that operate at\nroom temperature are within reach of current technological capabilities.\",\"Jia-Wei Ji, Yu-Feng Wu, Stephen C. Wein, Faezeh Kimiaee Asadi, Roohollah Ghobadi, Christoph Simon\",arXiv,quant-ph\nProtocols for creating and distilling multipartite GHZ states with Bell pairs,https://arxiv.org/abs/2010.12259,Quantum Protocol Design,\"Protocols for creating and distilling multipartite GHZ states with Bell\n  pairs\",\"The distribution of high-quality Greenberger-Horne-Zeilinger (GHZ) states is\nat the heart of many quantum communication tasks, ranging from extending the\nbaseline of telescopes to secret sharing. They also play an important role in\nerror-correction architectures for distributed quantum computation, where Bell\npairs can be leveraged to create an entangled network of quantum computers. We\ninvestigate the creation and distillation of GHZ states out of non-perfect Bell\npairs over quantum networks. In particular, we introduce a heuristic dynamic\nprogramming algorithm to optimize over a large class of protocols that create\nand purify GHZ states. All protocols considered use a common framework based on\nmeasurements of non-local stabilizer operators of the target state (i.e., the\nGHZ state), where each non-local measurement consumes another (non-perfect)\nentangled state as a resource. The new protocols outperform previous proposals\nfor scenarios without decoherence and local gate noise. Furthermore, the\nalgorithms can be applied for finding protocols for any number of parties and\nany number of entangled pairs involved.\",\"Sébastian de Bone, Runsheng Ouyang, Kenneth Goodenough, David Elkouss\",arXiv,quant-ph\nQuantum Computational Supremacy,https://arxiv.org/pdf/1809.07442.pdf,Quantum Supremacy & Computational Advantage,Quantum Computational Supremacy,\"The field of quantum algorithms aims to find ways to speed up the solution of\ncomputational problems by using a quantum computer. A key milestone in this\nfield will be when a universal quantum computer performs a computational task\nthat is beyond the capability of any classical computer, an event known as\nquantum supremacy. This would be easier to achieve experimentally than\nfull-scale quantum computing, but involves new theoretical challenges. Here we\npresent the leading proposals to achieve quantum supremacy, and discuss how we\ncan reliably compare the power of a classical computer to the power of a\nquantum computer.\",\"Aram W Harrow, Ashley Montanaro\",arXiv,quant-ph\n\"Quantum Internet Protocol Stack a Comprehensive Survey - Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti\",https://arxiv.org/abs/2202.10894,,Quantum Internet Protocol Stack: a Comprehensive Survey,\"Classical Internet evolved exceptionally during the last five decades, from a\nnetwork comprising a few static nodes in the early days to a leviathan\ninterconnecting billions of devices. This has been possible by the separation\nof concern principle, for which the network functionalities are organized as a\nstack of layers, each providing some communication functionalities through\nspecific network protocols. In this survey, we aim at highlighting the\nimpossibility of adapting the classical Internet protocol stack to the Quantum\nInternet, due to the marvels of quantum mechanics. Indeed, the design of the\nQuantum Internet requires a major paradigm shift of the whole protocol stack\nfor harnessing the peculiarities of quantum entanglement and quantum\ninformation. In this context, we first overview the relevant literature about\nQuantum Internet protocol stack. Then, stemming from this, we sheds the light\non the open problems and required efforts toward the design of an effective and\ncomplete Quantum Internet protocol stack. To the best of authors' knowledge, a\nsurvey of this type is the first of its own. What emerges from this analysis is\nthat the Quantum Internet, though still in its infancy, is a disruptive\ntechnology whose design requires an inter-disciplinary effort at the border\nbetween quantum physics, computer and telecommunications engineering.\",\"Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti\",arXiv,\"cs.NI, quant-ph\"\n\"Quantum Long Short-Term Memory - Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang\",https://arxiv.org/abs/2009.01783,,Quantum Long Short-Term Memory,\"Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN)\nfor sequence and temporal dependency data modeling and its effectiveness has\nbeen extensively established. In this work, we propose a hybrid\nquantum-classical model of LSTM, which we dub QLSTM. We demonstrate that the\nproposed model successfully learns several kinds of temporal data. In\nparticular, we show that for certain testing cases, this quantum version of\nLSTM converges faster, or equivalently, reaches a better accuracy, than its\nclassical counterpart. Due to the variational nature of our approach, the\nrequirements on qubit counts and circuit depth are eased, and our work thus\npaves the way toward implementing machine learning algorithms for sequence\nmodeling on noisy intermediate-scale quantum (NISQ) devices.\",\"Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang\",arXiv,\"quant-ph, cs.LG\"\nQuantum Support Vector Machine for Big Data Classification,https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.113.130503,,Quantum Support Vector Machine for Big Data Classification,Unknown,\"Patrick Rebentrost, Masoud Mohseni, Seth Lloyd\",Physical Review Letters,\nQuantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels,https://arxiv.org/abs/1907.07432,The Quantum Internet,\"Quantum Switch for the Quantum Internet: Noiseless Communications\n  through Noisy Channels\",\"Counter-intuitively, quantum mechanics enables quantum particles to propagate\nsimultaneously among multiple space-time trajectories. Hence, a quantum\ninformation carrier can travel through different communication channels in a\nquantum superposition of different orders, so that the relative time-order of\nthe communication channels becomes indefinite. This is realized by utilizing a\nquantum device known as quantum switch. In this paper, we investigate, from a\ncommunication-engineering perspective, the use of the quantum switch within the\nquantum teleportation process, one of the key functionalities of the Quantum\nInternet. Specifically, a theoretical analysis is conducted to quantify the\nperformance gain that can be achieved by employing a quantum switch for the\nentanglement distribution process within the quantum teleportation with respect\nto the case of absence of quantum switch. This analysis reveals that, by\nutilizing the quantum switch, the quantum teleportation is heralded as a\nnoiseless communication process with a probability that, remarkably and\ncounter-intuitively, increases with the noise levels affecting the\ncommunication channels considered in the indefinite-order time combination.\",\"Marcello Caleffi, Angela Sara Cacciapuoti\",arXiv,\"quant-ph, cs.NI\"\nQuantum advantage in learning from experiments,https://arxiv.org/abs/2112.00778,Quantum Machine Learning (QML),Quantum advantage in learning from experiments,\"Quantum technology has the potential to revolutionize how we acquire and\nprocess experimental data to learn about the physical world. An experimental\nsetup that transduces data from a physical system to a stable quantum memory,\nand processes that data using a quantum computer, could have significant\nadvantages over conventional experiments in which the physical system is\nmeasured and the outcomes are processed using a classical computer. We prove\nthat, in various tasks, quantum machines can learn from exponentially fewer\nexperiments than those required in conventional experiments. The exponential\nadvantage holds in predicting properties of physical systems, performing\nquantum principal component analysis on noisy states, and learning approximate\nmodels of physical dynamics. In some tasks, the quantum processing needed to\nachieve the exponential advantage can be modest; for example, one can\nsimultaneously learn about many noncommuting observables by processing only two\ncopies of the system. Conducting experiments with up to 40 superconducting\nqubits and 1300 quantum gates, we demonstrate that a substantial quantum\nadvantage can be realized using today's relatively noisy quantum processors.\nOur results highlight how quantum technology can enable powerful new strategies\nto learn about nature.\",\"Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean\",arXiv,\"quant-ph, cs.IT, cs.LG, math.IT\"\nQuantum algorithm for linear systems of equations,https://arxiv.org/pdf/0811.3171.pdf,Quantum Algorithms,Quantum algorithm for solving linear systems of equations,\"Solving linear systems of equations is a common problem that arises both on\nits own and as a subroutine in more complex problems: given a matrix A and a\nvector b, find a vector x such that Ax=b. We consider the case where one\ndoesn't need to know the solution x itself, but rather an approximation of the\nexpectation value of some operator associated with x, e.g., x'Mx for some\nmatrix M. In this case, when A is sparse, N by N and has condition number\nkappa, classical algorithms can find x and estimate x'Mx in O(N sqrt(kappa))\ntime. Here, we exhibit a quantum algorithm for this task that runs in poly(log\nN, kappa) time, an exponential improvement over the best classical algorithm.\",\"Aram W. Harrow, Avinatan Hassidim, Seth Lloyd\",arXiv,quant-ph\n\"Quantum computational advantage using photons - Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, ...\",https://www.science.org/doi/10.1126/science.abe8770,,Quantum computational advantage using photons,\"A light approach to quantum advantage\n          \n            Quantum computational advantage or supremacy is a long-anticipated milestone toward practical quantum computers. Recent work claimed to have reached this point, but subsequent work managed to speed up the classical simulation and pointed toward a sample size–dependent loophole. Quantum computational advantage, rather than being a one-shot experimental proof, will be the result of a long-term competition between quantum devices and classical simulation. Zhong\n            et al.\n            sent 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer and sampled the output using 100 high-efficiency single-photon detectors. By obtaining up to 76-photon coincidence, yielding a state space dimension of about 10\n            30\n            , they measured a sampling rate that is about 10\n            14\n            -fold faster than using state-of-the-art classical simulation strategies and supercomputers.\n          \n          \n            Science\n            , this issue p.\n            1460\n          \",\"Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, Dian Wu, Xing Ding, Yi Hu, Peng Hu, Xiao-Yan Yang, Wei-Jun Zhang, Hao Li, Yuxuan Li, Xiao Jiang, Lin Gan, Guangwen Yang, Lixing You, Zhen Wang, Li Li, Nai-Le Liu, Chao-Yang Lu, Jian-Wei Pan\",Science,\n\"Quantum computing with photons - introduction to the circuit model, the one way quantum computer, and the fundamental principles of photonic experiments\",https://iopscience.iop.org/article/10.1088/0953-4075/48/8/083001,,\"Quantum computing with photons: introduction to the circuit model, the one-way quantum computer, and the fundamental principles of photonic experiments\",Unknown,Stefanie Barz,\"Journal of Physics B: Atomic, Molecular and Optical Physics\",\n\"Quantum mechanics with real numbers: entanglement, superselection rules and gauges\",https://arxiv.org/pdf/2308.05473.pdf,Commercial and Philosophical Views,\"Quantum mechanics with real numbers: entanglement, superselection rules\n  and gauges\",\"We show how imaginary numbers in quantum physics can be eliminated by\nenlarging the Hilbert Space followed by an imposition of - what effectively\namounts to - a superselection rule. We illustrate this procedure with a qubit\nand apply it to the Mach-Zehnder interferometer. The procedure is somewhat\nreminiscent of the constrained quantization of the electromagnetic field,\nwhere, in order to manifestly comply with relativity, one enlargers the Hilbert\nSpace by quantizing the longitudinal and scalar modes, only to subsequently\nintroduce a constraint to make sure that they are actually not directly\nobservable.\",Vlatko Vedral,arXiv,quant-ph\nQuantum Particles and Classical Particles - Nathan Rosen,https://link.springer.com/article/10.1007/BF00735376,,Quantum particles and classical particles,Unknown,Nathan Rosen,Foundations of Physics,\n\"Quantum readout error mitigation via deep learning - Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, and Daniel K Park\",https://iopscience.iop.org/article/10.1088/1367-2630/ac7b3d,,Quantum readout error mitigation via deep learning,\"Abstract\n               Quantum computing devices are inevitably subject to errors. To leverage quantum technologies for computational benefits in practical applications, quantum algorithms and protocols must be implemented reliably under noise and imperfections. Since noise and imperfections limit the size of quantum circuits that can be realized on a quantum device, developing quantum error mitigation techniques that do not require extra qubits and gates is of critical importance. In this work, we present a deep learning-based protocol for reducing readout errors on quantum hardware. Our technique is based on training an artificial neural network (NN) with the measurement results obtained from experiments with simple quantum circuits consisting of singe-qubit gates only. With the NN and deep learning, non-linear noise can be corrected, which is not possible with the existing linear inversion methods. The advantage of our method against the existing methods is demonstrated through quantum readout error mitigation experiments performed on IBM five-qubit quantum devices.\",\"Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, Daniel K Park\",New Journal of Physics,\nQuantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model,https://journals.aps.org/pra/pdf/10.1103/PhysRevA.40.4277,Quantum Information Theory,Quantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model,Unknown,Reinhard F. Werner,Physical Review A,\nQuantum walks a comprehensive review - Salvador E. Venegas-Andraca,https://arxiv.org/abs/1201.4780,,Quantum walks: a comprehensive review,\"Quantum walks, the quantum mechanical counterpart of classical random walks,\nis an advanced tool for building quantum algorithms that has been recently\nshown to constitute a universal model of quantum computation. Quantum walks is\nnow a solid field of research of quantum computation full of exciting open\nproblems for physicists, computer scientists, mathematicians and engineers.\n  In this paper we review theoretical advances on the foundations of both\ndiscrete- and continuous-time quantum walks, together with the role that\nrandomness plays in quantum walks, the connections between the mathematical\nmodels of coined discrete quantum walks and continuous quantum walks, the\nquantumness of quantum walks, a summary of papers published on discrete quantum\nwalks and entanglement as well as a succinct review of experimental proposals\nand realizations of discrete-time quantum walks. Furthermore, we have reviewed\nseveral algorithms based on both discrete- and continuous-time quantum walks as\nwell as a most important result: the computational universality of both\ncontinuous- and discrete- time quantum walks.\",Salvador E. Venegas-Andraca,arXiv,\"quant-ph, math-ph, math.MP\"\nQuantum-Enhanced Data Classification with a Variational Entangled Sensor Network,https://arxiv.org/abs/2006.11962,Quantum Enhanced Sensing & Detection,\"Quantum-enhanced data classification with a variational entangled sensor\n  network\",\"Variational quantum circuits (VQCs) built upon noisy intermediate-scale\nquantum (NISQ) hardware, in conjunction with classical processing, constitute a\npromising architecture for quantum simulations, classical optimization, and\nmachine learning. However, the required VQC depth to demonstrate a quantum\nadvantage over classical schemes is beyond the reach of available NISQ devices.\nSupervised learning assisted by an entangled sensor network (SLAEN) is a\ndistinct paradigm that harnesses VQCs trained by classical machine-learning\nalgorithms to tailor multipartite entanglement shared by sensors for solving\npractically useful data-processing problems. Here, we report the first\nexperimental demonstration of SLAEN and show an entanglement-enabled reduction\nin the error probability for classification of multidimensional radio-frequency\nsignals. Our work paves a new route for quantum-enhanced data processing and\nits applications in the NISQ era.\",\"Yi Xia, Wei Li, Quntao Zhuang, Zheshen Zhang\",arXiv,\"quant-ph, physics.optics\"\n\"Rate limits in quantum networks with lossy repeaters - Riccardo Laurenza, Nathan Walk, Jens Eisert and Stefao Pirandola\",https://arxiv.org/pdf/2110.10168.pdf,,Rate limits in quantum networks with lossy repeaters,\"The derivation of ultimate limits to communication over certain quantum\nrepeater networks have provided extremely valuable benchmarks for assessing\nnear-term quantum communication protocols. However, these bounds are usually\nderived in the limit of ideal devices and leave questions about the performance\nof practical implementations unanswered. To address this challenge, we quantify\nhow the presence of loss in repeater stations affect the maximum attainable\nrates for quantum communication over linear repeater chains and more complex\nquantum networks. Extending the framework of node splitting, we model the loss\nintroduced at the repeater stations and then prove the corresponding limits. In\nthe linear chain scenario we show that, by increasing the number of repeater\nstations, the maximum rate cannot overcome a quantity which solely depends on\nthe loss of a single station. We introduce a way of adapting the standard\nmachinery for obtaining bounds to this realistic scenario. The difference is\nthat whilst ultimate limits for any strategy can be derived given a fixed\nchannel, when the repeaters introduce additional decoherence, then the\neffective overall channel is itself a function of the chosen repeater strategy\n(e.g., one-way versus two-way classical communication). Classes of repeater\nstrategies can be analysed using additional modelling and the subsequent bounds\ncan be interpreted as the optimal rate within that class.\",\"Riccardo Laurenza, Nathan Walk, Jens Eisert, Stefano Pirandola\",arXiv,quant-ph\nReal-time quantum error correction beyond break-even,https://arxiv.org/abs/2211.09116,Quantum Error Correction,Real-time quantum error correction beyond break-even,\"The ambition of harnessing the quantum for computation is at odds with the\nfundamental phenomenon of decoherence. The purpose of quantum error correction\n(QEC) is to counteract the natural tendency of a complex system to decohere.\nThis cooperative process, which requires participation of multiple quantum and\nclassical components, creates a special type of dissipation that removes the\nentropy caused by the errors faster than the rate at which these errors corrupt\nthe stored quantum information. Previous experimental attempts to engineer such\na process faced an excessive generation of errors that overwhelmed the\nerror-correcting capability of the process itself. Whether it is practically\npossible to utilize QEC for extending quantum coherence thus remains an open\nquestion. We answer it by demonstrating a fully stabilized and error-corrected\nlogical qubit whose quantum coherence is significantly longer than that of all\nthe imperfect quantum components involved in the QEC process, beating the best\nof them with a coherence gain of $G = 2.27 \\pm 0.07$. We achieve this\nperformance by combining innovations in several domains including the\nfabrication of superconducting quantum circuits and model-free reinforcement\nlearning.\",\"V. V. Sivak, A. Eickbusch, B. Royer, S. Singh, I. Tsioutsios, S. Ganjam, A. Miano, B. L. Brock, A. Z. Ding, L. Frunzio, S. M. Girvin, R. J. Schoelkopf, M. H. Devoret\",arXiv,quant-ph\n\"Realization of Real-Time Fault-Tolerant Quantum Error Correction - C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, Francois, A. Chernoguzov, ...\",https://journals.aps.org/prx/abstract/10.1103/PhysRevX.11.041058,,Realization of Real-Time Fault-Tolerant Quantum Error Correction,Unknown,\"C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, D. Francois, A. Chernoguzov, D. Lucchetti, N. C. Brown, T. M. Gatterman, S. K. Halit, K. Gilmore, J. A. Gerber, B. Neyenhuis, D. Hayes, R. P. Stutz\",Physical Review X,\nRearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures,https://arxiv.org/pdf/2405.19503,,\"Rearrangement of single atoms in a 2000-site optical tweezers array at\n  cryogenic temperatures\",\"We report on the trapping of single rubidium atoms in large arrays of optical\ntweezers comprising up to 2088 sites in a cryogenic environment at 6 K. Our\napproach relies on the use of microscope objectives that are in-vacuum but at\nroom temperature, in combination with windowless thermal shields into which the\nobjectives are protruding to ensure a cryogenic environment for the trapped\natoms. To achieve enough optical power for efficient trapping, we combine two\nlasers at slightly different wavelengths. We discuss the performance and\nlimitations of our design. Finally, we demonstrate atom-by-atom rearrangement\nof an 828-atom target array using moving optical tweezers controlled by a\nfield-programmable gate array.\",\"Grégoire Pichard, Desiree Lim, Etienne Bloch, Julien Vaneecloo, Lilian Bourachot, Gert-Jan Both, Guillaume Mériaux, Sylvain Dutartre, Richard Hostein, Julien Paris, Bruno Ximenez, Adrien Signoles, Antoine Browaeys, Thierry Lahaye, Davide Dreon\",arXiv,\"physics.atom-ph, cond-mat.quant-gas, quant-ph\"\nResource savings from fault-tolerant circuit design,https://arxiv.org/pdf/2311.02132.pdf,Quantum Error Correction,Resource savings from fault-tolerant circuit design,\"Using fault-tolerant constructions, computations performed with unreliable\ncomponents can simulate their noiseless counterparts though the introduction of\na modest amount of redundancy. Given the modest overhead required to achieve\nfault-tolerance, and the fact that increasing the reliability of basic\ncomponents often comes at a cost, are there situations where fault-tolerance\nmay be more economical? We present a general framework to account for this\noverhead cost in order to effectively compare fault-tolerant to\nnon-fault-tolerant approaches for computation, in the limit of small logical\nerror rates. Using this detailed accounting, we determine explicit boundaries\nat which fault-tolerant designs become more efficient than designs that achieve\ncomparable reliability through direct consumption of resources. We find that\nthe fault-tolerant construction is always preferred in the limit of high\nreliability in cases where the resources required to construct a basic unit\ngrows faster than $\\log(1 / \\epsilon)$ asymptotically for small $\\epsilon$.\",\"Andrew K. Tan, Isaac L. Chuang\",arXiv,\"cs.CE, cs.IT, math.IT\"\n\"Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing - David Barral, et. al.\",https://arxiv.org/abs/2404.01265,,\"Review of Distributed Quantum Computing. From single QPU to High\n  Performance Quantum Computing\",\"The emerging field of quantum computing has shown it might change how we\nprocess information by using the unique principles of quantum mechanics. As\nresearchers continue to push the boundaries of quantum technologies to\nunprecedented levels, distributed quantum computing raises as an obvious path\nto explore with the aim of boosting the computational power of current quantum\nsystems. This paper presents a comprehensive survey of the current state of the\nart in the distributed quantum computing field, exploring its foundational\nprinciples, landscape of achievements, challenges, and promising directions for\nfurther research. From quantum communication protocols to entanglement-based\ndistributed algorithms, each aspect contributes to the mosaic of distributed\nquantum computing, making it an attractive approach to address the limitations\nof classical computing. Our objective is to provide an exhaustive overview for\nexperienced researchers and field newcomers.\",\"David Barral, F. Javier Cardama, Guillermo Díaz, Daniel Faílde, Iago F. Llovo, Mariamo Mussa Juane, Jorge Vázquez-Pérez, Juan Villasuso, César Piñeiro, Natalia Costas, Juan C. Pichel, Tomás F. Pena, Andrés Gómez\",arXiv,\"quant-ph, cs.ET\"\nRoom temperature quantum key distribution characteristics of low‑noise InGaAs/InP single‑photon avalanche diode,https://link.springer.com/article/10.1007/s40042-021-00111-4,Quantum Hardware & Implementation,Room temperature quantum key distribution characteristics of low-noise InGaAs/InP single-photon avalanche diode,Unknown,\"Soo-Hyun Baek, Seung-Chul Yang, Chan-Yong Park, Chul-Woo Park, Seok-Beom Cho, Sang-Wan Ryu\",Journal of the Korean Physical Society,\nScaling silicon-based quantum computing using CMOS technology,https://arxiv.org/abs/2011.11753,Silicon Based Technologies,\"Scaling silicon-based quantum computing using CMOS technology:\n  State-of-the-art, Challenges and Perspectives\",\"Complementary metal-oxide semiconductor (CMOS) technology has radically\nreshaped the world by taking humanity to the digital age. Cramming more\ntransistors into the same physical space has enabled an exponential increase in\ncomputational performance, a strategy that has been recently hampered by the\nincreasing complexity and cost of miniaturization. To continue achieving\nsignificant gains in computing performance, new computing paradigms, such as\nquantum computing, must be developed. However, finding the optimal physical\nsystem to process quantum information, and scale it up to the large number of\nqubits necessary to build a general-purpose quantum computer, remains a\nsignificant challenge. Recent breakthroughs in nanodevice engineering have\nshown that qubits can now be manufactured in a similar fashion to silicon\nfield-effect transistors, opening an opportunity to leverage the know-how of\nthe CMOS industry to address the scaling challenge. In this article, we focus\non the analysis of the scaling prospects of quantum computing systems based on\nCMOS technology.\",\"M. F. Gonzalez-Zalba, S. de Franceschi, E. Charbon, T. Meunier, M. Vinet, A. S. Dzurak\",arXiv,\"quant-ph, cond-mat.mes-hall\"\n\"SeQUeNCe a customizable discrete-event simulator of quantum networks - Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin,, Tian Zhong, ...\",https://arxiv.org/abs/2009.12000,,SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks,\"Recent advances in quantum information science enabled the development of\nquantum communication network prototypes and created an opportunity to study\nfull-stack quantum network architectures. This work develops SeQUeNCe, a\ncomprehensive, customizable quantum network simulator. Our simulator consists\nof five modules: Hardware models, Entanglement Management protocols, Resource\nManagement, Network Management, and Application. This framework is suitable for\nsimulation of quantum network prototypes that capture the breadth of current\nand future hardware technologies and protocols. We implement a comprehensive\nsuite of network protocols and demonstrate the use of SeQUeNCe by simulating a\nphotonic quantum network with nine routers equipped with quantum memories. The\nsimulation capabilities are illustrated in three use cases. We show the\ndependence of quantum network throughput on several key hardware parameters and\nstudy the impact of classical control message latency. We also investigate\nquantum memory usage efficiency in routers and demonstrate that redistributing\nmemory according to anticipated load increases network capacity by 69.1% and\nthroughput by 6.8%. We design SeQUeNCe to enable comparisons of alternative\nquantum network technologies, experiment planning, and validation and to aid\nwith new protocol design. We are releasing SeQUeNCe as an open source tool and\naim to generate community interest in extending it.\",\"Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin, Tian Zhong, Rajkumar Kettimuthu, Martin Suchara\",arXiv,quant-ph\nSingle-shot Quantum Signal Processing Interferometry,https://arxiv.org/pdf/2311.13703.pdf,Programmable Quantum Gates,Single-shot Quantum Signal Processing Interferometry,\"Quantum systems of infinite dimension, such as bosonic oscillators, provide\nvast resources for quantum sensing. Yet, a general theory on how to manipulate\nsuch bosonic modes for sensing beyond parameter estimation is unknown. We\npresent a general algorithmic framework, quantum signal processing\ninterferometry (QSPI), for quantum sensing at the fundamental limits of quantum\nmechanics by generalizing Ramsey-type interferometry. Our QSPI sensing protocol\nrelies on performing nonlinear polynomial transformations on the oscillator's\nquadrature operators by generalizing quantum signal processing (QSP) from\nqubits to hybrid qubit-oscillator systems. We use our QSPI sensing framework to\nmake efficient binary decisions on a displacement channel in the single-shot\nlimit. Theoretical analysis suggests the sensing accuracy, given a single-shot\nqubit measurement, scales inversely with the sensing time or circuit depth of\nthe algorithm. We further concatenate a series of such binary decisions to\nperform parameter estimation in a bit-by-bit fashion. Numerical simulations are\nperformed to support these statements. Our QSPI protocol offers a unified\nframework for quantum sensing using continuous-variable bosonic systems beyond\nparameter estimation and establishes a promising avenue toward efficient and\nscalable quantum control and quantum sensing schemes beyond the NISQ era.\",\"Jasmine Sinanan-Singh, Gabriel L. Mintzer, Isaac L. Chuang, Yuan Liu\",arXiv,\"quant-ph, eess.SP\"\nSolitons near avoided mode crossings in χ(2) nanowaveguides,https://arxiv.org/abs/2108.08563,Silicon Based Technologies,Solitons near avoided mode crossing in $χ^{(2)}$ nanowaveguides,\"We present a model for $\\chi^{(2)}$ waveguides accounting for three modes,\ntwo of which make an avoided crossing at the second harmonic wavelength. We\nintroduce two linearly coupled pure modes and adjust the coupling to replicate\nthe waveguide dispersion near the avoided crossing. Analysis of the nonlinear\nsystem reveals continuous wave (CW) solutions across much of the\nparameter-space and prevalence of its modulational instability. We also predict\nthe existence of the avoided-crossing solitons, and study peculiarities of\ntheir dynamics and spectral properties, which include formation of a pedestal\nin the pulse tails and associated pronounced spectral peaks. Mapping these\nsolitons onto the linear dispersion diagrams, we make connections between their\nexistence and CW existence and stability. We also simulate the two-color\nsoliton generation from a single frequency pump pulse to back up its formation\nand stability properties.\",\"William R. Rowe, Andrey V. Gorbach, Dmitry V. Skryabin\",arXiv,\"physics.optics, nlin.PS\"\nStim: a fast stabilizer circuit simulator -Craig Gidney,https://arxiv.org/abs/2103.02202v3,,Stim: a fast stabilizer circuit simulator,\"This paper presents ``Stim\"\", a fast simulator for quantum stabilizer\ncircuits. The paper explains how Stim works and compares it to existing tools.\nWith no foreknowledge, Stim can analyze a distance 100 surface code circuit (20\nthousand qubits, 8 million gates, 1 million measurements) in 15 seconds and\nthen begin sampling full circuit shots at a rate of 1 kHz. Stim uses a\nstabilizer tableau representation, similar to Aaronson and Gottesman's CHP\nsimulator, but with three main improvements. First, Stim improves the\nasymptotic complexity of deterministic measurement from quadratic to linear by\ntracking the {\\em inverse} of the circuit's stabilizer tableau. Second, Stim\nimproves the constant factors of the algorithm by using a cache-friendly data\nlayout and 256 bit wide SIMD instructions. Third, Stim only uses expensive\nstabilizer tableau simulation to create an initial reference sample. Further\nsamples are collected in bulk by using that sample as a reference for batches\nof Pauli frames propagating through the circuit.\",Craig Gidney,arXiv,quant-ph\n\"Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead - Oscar Higgott, Nikolas P. Breuckmann\",https://arxiv.org/abs/2010.09626,,\"Subsystem codes with high thresholds by gauge fixing and reduced qubit\n  overhead\",\"We introduce a technique that uses gauge fixing to significantly improve the\nquantum error correcting performance of subsystem codes. By changing the order\nin which check operators are measured, valuable additional information can be\ngained, and we introduce a new method for decoding which uses this information\nto improve performance. Applied to the subsystem toric code with three-qubit\ncheck operators, we increase the threshold under circuit-level depolarising\nnoise from $0.67\\%$ to $0.81\\%$. The threshold increases further under a\ncircuit-level noise model with small finite bias, up to $2.22\\%$ for infinite\nbias. Furthermore, we construct families of finite-rate subsystem LDPC codes\nwith three-qubit check operators and optimal-depth parity-check measurement\nschedules. To the best of our knowledge, these finite-rate subsystem codes\noutperform all known codes at circuit-level depolarising error rates as high as\n$0.2\\%$, where they have a qubit overhead that is $4.3\\times$ lower than the\nmost efficient version of the surface code and $5.1\\times$ lower than the\nsubsystem toric code. Their threshold and pseudo-threshold exceeds $0.42\\%$ for\ncircuit-level depolarising noise, increasing to $2.4\\%$ under infinite bias\nusing gauge fixing.\",\"Oscar Higgott, Nikolas P. Breuckmann\",arXiv,quant-ph\n\"Supervised learning with quantum enhanced feature spaces - Vojtech Havlicek, et.al\",https://arxiv.org/pdf/1804.11326.pdf,,Supervised learning with quantum enhanced feature spaces,\"Machine learning and quantum computing are two technologies each with the\npotential for altering how computation is performed to address previously\nuntenable problems. Kernel methods for machine learning are ubiquitous for\npattern recognition, with support vector machines (SVMs) being the most\nwell-known method for classification problems. However, there are limitations\nto the successful solution to such problems when the feature space becomes\nlarge, and the kernel functions become computationally expensive to estimate. A\ncore element to computational speed-ups afforded by quantum algorithms is the\nexploitation of an exponentially large quantum state space through controllable\nentanglement and interference. Here, we propose and experimentally implement\ntwo novel methods on a superconducting processor. Both methods represent the\nfeature space of a classification problem by a quantum state, taking advantage\nof the large dimensionality of quantum Hilbert space to obtain an enhanced\nsolution. One method, the quantum variational classifier builds on [1,2] and\noperates through using a variational quantum circuit to classify a training set\nin direct analogy to conventional SVMs. In the second, a quantum kernel\nestimator, we estimate the kernel function and optimize the classifier\ndirectly. The two methods present a new class of tools for exploring the\napplications of noisy intermediate scale quantum computers [3] to machine\nlearning.\",\"Vojtech Havlicek, Antonio D. Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, Jay M. Gambetta\",arXiv,\"quant-ph, stat.ML\"\nSurface codes: Towards practical large-scale quantum computation,https://arxiv.org/abs/1208.0928,Quantum Error Correction,Surface codes: Towards practical large-scale quantum computation,\"This article provides an introduction to surface code quantum computing. We\nfirst estimate the size and speed of a surface code quantum computer. We then\nintroduce the concept of the stabilizer, using two qubits, and extend this\nconcept to stabilizers acting on a two-dimensional array of physical qubits, on\nwhich we implement the surface code. We next describe how logical qubits are\nformed in the surface code array and give numerical estimates of their\nfault-tolerance. We outline how logical qubits are physically moved on the\narray, how qubit braid transformations are constructed, and how a braid between\ntwo logical qubits is equivalent to a controlled-NOT. We then describe the\nsingle-qubit Hadamard, S and T operators, completing the set of required gates\nfor a universal quantum computer. We conclude by briefly discussing physical\nimplementations of the surface code. We include a number of appendices in which\nwe provide supplementary information to the main text.\",\"Austin G. Fowler, Matteo Mariantoni, John M. Martinis, Andrew N. Cleland\",arXiv,quant-ph\nSymmetry-invariant quantum machine learning force fields,https://arxiv.org/abs/2311.11362,Quantum Machine Learning (QML),Symmetry-invariant quantum machine learning force fields,\"Machine learning techniques are essential tools to compute efficient, yet\naccurate, force fields for atomistic simulations. This approach has recently\nbeen extended to incorporate quantum computational methods, making use of\nvariational quantum learning models to predict potential energy surfaces and\natomic forces from ab initio training data. However, the trainability and\nscalability of such models are still limited, due to both theoretical and\npractical barriers. Inspired by recent developments in geometric classical and\nquantum machine learning, here we design quantum neural networks that\nexplicitly incorporate, as a data-inspired prior, an extensive set of\nphysically relevant symmetries. We find that our invariant quantum learning\nmodels outperform their more generic counterparts on individual molecules of\ngrowing complexity. Furthermore, we study a water dimer as a minimal example of\na system with multiple components, showcasing the versatility of our proposed\napproach and opening the way towards larger simulations. Our results suggest\nthat molecular force fields generation can significantly profit from leveraging\nthe framework of geometric quantum machine learning, and that chemical systems\nrepresent, in fact, an interesting and rich playground for the development and\napplication of advanced quantum machine learning tools.\",\"Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino\",arXiv,\"quant-ph, cs.LG, physics.chem-ph, physics.comp-ph\"\nTeleportation of entanglement over 143 km,https://arxiv.org/abs/1403.0009,Quantum Entanglement & Teleportation,Teleportation of entanglement over 143 km,\"As a direct consequence of the no-cloning theorem, the deterministic\namplification as in classical communication is impossible for quantum states.\nThis calls for more advanced techniques in a future global quantum network,\ne.g. for cloud quantum computing. A unique solution is the teleportation of an\nentangled state, i.e. entanglement swapping, representing the central resource\nto relay entanglement between distant nodes. Together with entanglement\npurification and a quantum memory it constitutes a so-called quantum repeater.\nSince the aforementioned building blocks have been individually demonstrated in\nlaboratory setups only, the applicability of the required technology in\nreal-world scenarios remained to be proven. Here we present a free-space\nentanglement-swapping experiment between the Canary Islands of La Palma and\nTenerife, verifying the presence of quantum entanglement between two previously\nindependent photons separated by 143 km. We obtained an expectation value for\nthe entanglement-witness operator, more than 6 standard deviations beyond the\nclassical limit. By consecutive generation of the two required photon pairs and\nspace-like separation of the relevant measurement events, we also showed the\nfeasibility of the swapping protocol in a long-distance scenario, where the\nindependence of the nodes is highly demanded. Since our results already allow\nfor efficient implementation of entanglement purification, we anticipate our\nassay to lay the ground for a fully-fledged quantum repeater over a realistic\nhigh-loss and even turbulent quantum channel.\",\"Thomas Herbst, Thomas Scheidl, Matthias Fink, Johannes Handsteiner, Bernhard Wittmann, Rupert Ursin, Anton Zeilinger\",arXiv,\"quant-ph, physics.optics\"\n\"The Computational and Latency Advantage of Quantum Communication Networks - Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H.P. Fitzek and Holger Boche\",https://arxiv.org/pdf/2106.03360.pdf,,\"The Computational and Latency Advantage of Quantum Communication\n  Networks\",\"This article summarises the current status of classical communication\nnetworks and identifies some critical open research challenges that can only be\nsolved by leveraging quantum technologies. By now, the main goal of quantum\ncommunication networks has been security. However, quantum networks can do more\nthan just exchange secure keys or serve the needs of quantum computers. In\nfact, the scientific community is still investigating on the possible use\ncases/benefits that quantum communication networks can bring. Thus, this\narticle aims at pointing out and clearly describing how quantum communication\nnetworks can enhance in-network distributed computing and reduce the overall\nend-to-end latency, beyond the intrinsic limits of classical technologies.\nFurthermore, we also explain how entanglement can reduce the communication\ncomplexity (overhead) that future classical virtualised networks will\nexperience.\",\"Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H. P. Fitzek, Holger Boche\",arXiv,\"cs.IT, math.IT, quant-ph\"\n\"The SWAP test and the Hong-Ou-Mandel effect are equivalent - Juan Carlos Garcia-Escartin, Pedro Chamorro-Posada\",https://arxiv.org/abs/1303.6814,,The SWAP test and the Hong-Ou-Mandel effect are equivalent,\"We show that the Hong-Ou-Mandel effect from quantum optics is equivalent to\nthe SWAP test, a quantum information primitive which compares two arbitrary\nstates. We first derive a destructive SWAP test that doesn't need the ancillary\nqubit that appears in the usual quantum circuit. Then, we study the\nHong-Ou-Mandel effect for two photons meeting at a beam splitter and prove it\nis, in fact, an optical implementation of the destructive SWAP test. This\nresult offers both an interesting simple realization of a powerful quantum\ninformation primitive and an alternative way to understand and analyse the\nHong-Ou-Mandel effect.\",\"Juan Carlos Garcia-Escartin, Pedro Chamorro-Posada\",arXiv,quant-ph\n\"The_Virtual_Quantum_Optics_Laboratory - Brian R. La Cour, Maria Maynard, Parth Shroff, Gabriel Ko, Evan Ellis\",https://arxiv.org/abs/2105.07300,,The Virtual Quantum Optics Laboratory,\"We present a web-based software tool, the Virtual Quantum Optics Laboratory\n(VQOL), that may be used for designing and executing realistic simulations of\nquantum optics experiments. A graphical user interface allows one to rapidly\nbuild and configure a variety of different optical experiments, while the\nruntime environment provides unique capabilities for visualization and\nanalysis. All standard linear optical components are available as well as\nsources of thermal, coherent, and entangled Gaussian states. A unique aspect of\nVQOL is the introduction of non-Gaussian measurements using detectors modeled\nas deterministic devices that \"\"click\"\" when the amplitude of the light falls\nabove a given threshold. We describe the underlying theoretical models and\nprovide several illustrative examples. We find that VQOL provides a a faithful\nrepresentation of many experimental quantum optics phenomena and may serve as\nboth a useful instructional tool for students as well as a valuable research\ntool for practitioners.\",\"Brian R. La Cour, Maria Maynard, Parth Shroff, Gabriel Ko, Evan Ellis\",arXiv,quant-ph\nThe information-theoretic foundation of thermodynamic work extraction,https://arxiv.org/abs/2009.04588,Physical Information,The information-theoretic foundation of thermodynamic work extraction,\"In this paper I apply newly-proposed information-theoretic principles to\nthermodynamic work extraction. I show that if it is possible to extract work\ndeterministically from a physical system prepared in any one of a set of\nstates, then those states must be distinguishable from one another. This result\nis formulated independently of scale and of particular dynamical laws; it also\nprovides a novel connection between thermodynamics and information theory,\nestablished via the law of conservation of energy (rather than the second law\nof thermodynamics). Albeit compatible with these conclusions, existing\nthermodynamics approaches cannot provide a result of such generality, because\nthey are scale-dependent (relying on ensembles or coarse-graining) or tied to\nparticular dynamical laws. This paper thus provides a broader foundation for\nthermodynamics, with implications for the theory of von Neumann's universal\nconstructor\",Chiara Marletto,arXiv,\"quant-ph, physics.comp-ph\"\nThe role of quantum information in thermodynamics,https://arxiv.org/abs/1505.07835,Physical Information,The role of quantum information in thermodynamics --- a topical review,\"This topical review article gives an overview of the interplay between\nquantum information theory and thermodynamics of quantum systems. We focus on\nseveral trending topics including the foundations of statistical mechanics,\nresource theories, entanglement in thermodynamic settings, fluctuation theorems\nand thermal machines. This is not a comprehensive review of the diverse field\nof quantum thermodynamics; rather, it is a convenient entry point for the\nthermo-curious information theorist. Furthermore this review should facilitate\nthe unification and understanding of different interdisciplinary approaches\nemerging in research groups around the world.\",\"John Goold, Marcus Huber, Arnau Riera, Lídia del Rio, Paul Skrzypczyk\",arXiv,quant-ph\n\"Tutorial: Remote entanglement protocols for stationary qubits with photonic interfaces - Hans K.C. Beukers, et.al.\",https://arxiv.org/pdf/2310.19878.pdf,,\"Tutorial: Remote entanglement protocols for stationary qubits with\n  photonic interfaces\",\"Generating entanglement between distant quantum systems is at the core of\nquantum networking. In recent years, numerous theoretical protocols for remote\nentanglement generation have been proposed, of which many have been\nexperimentally realized. Here, we provide a modular theoretical framework to\nelucidate the general mechanisms of photon-mediated entanglement generation\nbetween single spins in atomic or solid-state systems. Our framework\ncategorizes existing protocols at various levels of abstraction and allows for\ncombining the elements of different schemes in new ways. These abstraction\nlayers make it possible to readily compare protocols for different quantum\nhardware. To enable the practical evaluation of protocols tailored to specific\nexperimental parameters, we have devised numerical simulations based on the\nframework with our codes available online.\",\"Hans K. C. Beukers, Matteo Pasini, Hyeongrak Choi, Dirk Englund, Ronald Hanson, Johannes Borregaard\",arXiv,quant-ph\n\"Two-photon interference the Hong-Ou-Mandel effect - FrédÉric Bouchard, Alicia Sit, Yingwen Zhang, Robert Fickler, Filippo M. Miatto,...\",https://arxiv.org/abs/2006.09335,,Two-photon interference: the Hong-Ou-Mandel effect,\"Nearly 30 years ago, two-photon interference was observed, marking the\nbeginning of a new quantum era. Indeed, two-photon interference has no\nclassical analogue, giving it a distinct advantage for a range of applications.\nThe peculiarities of quantum physics may now be used to our advantage to\noutperform classical computations, securely communicate information, simulate\nhighly complex physical systems and increase the sensitivity of precise\nmeasurements. This separation from classical to quantum physics has motivated\nphysicists to study two-particle interference for both fermionic and bosonic\nquantum objects. So far, two-particle interference has been observed with\nmassive particles, among others, such as electrons and atoms, in addition to\nplasmons, demonstrating the extent of this effect to larger and more complex\nquantum systems. A wide array of novel applications to this quantum effect is\nto be expected in the future. This review will thus cover the progress and\napplications of two-photon (two-particle) interference over the last three\ndecades.\",\"FrédÉric Bouchard, Alicia Sit, Yingwen Zhang, Robert Fickler, Filippo M. Miatto, Yuan Yao, Fabio Sciarrino, Ebrahim Karimi\",arXiv,\"quant-ph, physics.optics\"\nEnergy & Information - Myron Tribus and Edward C. McIrvine,https://www.jstor.org/stable/24923125?saml_data=eyJzYW1sVG9rZW4iOiIzYThiNDZlMi1iZGVhLTRlMGQtOGExOC03YzQ2ZDZkNzQyNWQiLCJpbnN0aXR1dGlvbklkcyI6WyJiN2JlMjYxZS1hOWVhLTRiZGYtOWVjNS00ZWVkN2NhNTI5NzIiXX0#metadata_info_tab_contents,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Simple Proof of Security of the BB84 Quantum Key Distribution Protocol -Peter W. Shor, John Preskill\",https://arxiv.org/abs/quant-ph/0003004,,Unknown,Unknown,Unknown,Unknown,Unknown\n2D materials for quantum information science,https://www.nature.com/articles/s41578-019-0136-x,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown\nEnergy & Information,https://www.jstor.org/stable/24923125,Physical Information,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Entanglement in Many-Body Systems - Luigi Amico, Rosario Fazio, Vlatko Vedral\",https://arxiv.org/pdf/quant-ph/0703044.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\nEstablishing the quantum supremacy frontier with a 281 Pflop/s simulation,https://iopscience.iop.org/article/10.1088/2058-9565/ab7eeb/pdf?casa_token=fqUuMeRiHW8AAAAA:-qCFEf4B8q71vIHgiBtzWC_CMtpzILLTB5PaGoVOSn-EugRt6crwFnEY65HH3AwY_zVOkq2gmQ,,Unknown,Unknown,Unknown,Unknown,Unknown\nEnergy-Efficient Superconducting Computing—Power Budgets and Requirements,https://ieeexplore.ieee.org/abstract/document/6449287,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Scheme for reducing decoherence in quantum computer memory, Peter W. Shor\",https://www.cs.miami.edu/home/burt/learning/Csc670.052/pR2493_1.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Experimental violation of Bell inequalities for multi-dimensional systems - Hsin-Pin Lo1, Che-Ming Li2, AtsushiYabushita1, Yueh-NanChen3, Chih-Wei Luo1 & Takayoshi Kobayashi\",https://www.nature.com/articles/srep22088,,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum information processing with bosonic qubits in circuit QED,https://iopscience.iop.org/article/10.1088/2058-9565/abe989/pdf,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum Computing,https://arxiv.org/abs/quant-ph/9708022,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown\nThe Future of Quantum Computing with Superconducting Qubits,https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits - Ming Gong, Xiao Yuan, Shiyu Wang, Yulin Wu, ...\",https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiH6f7Sk8n5AhW6S0EAHYpcCL0QFnoECAsQAQ&url=https%3A%2F%2Fora.ox.ac.uk%2Fobjects%2Fuuid%3A5b2e5204-7746-4569-807e-77654a77313a%2Ffiles%2Fs0v838175c&usg=AOvVaw3l2-7GFf0m6Fw14IpYljjx,,Unknown,Unknown,Unknown,Unknown,Unknown\nAn energy efficient multipliers using reversible gates,https://www.researchgate.net/publication/347857423_An_energy_efficient_multipliers_using_reversible_gates,,Unknown,Unknown,Unknown,Unknown,Unknown\nA generalization of the stabilizer formalism for simulating arbitrary quantum circuits - Theodore J. Yoder,https://www.scottaaronson.com/showcase2/report/ted-yoder.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum Optical Neural Networks (Patent Application),https://patentimages.storage.googleapis.com/fa/61/94/ec20dc003a6517/US20200372334A1.pdf,Quantum Neural Networks (QNNs),Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum computing at the frontiers of biological sciences,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254820/,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown\nA Review of Quantum Computer Energy Efficiency,https://ieeexplore.ieee.org/abstract/document/8767125,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown\nLinear growth of quantum circuit complexity,https://www.nature.com/articles/s41567-022-01539-6,Quantum Algorithms,Unknown,Unknown,Unknown,Unknown,Unknown\nSolid-state single-photon emitters,http://ciqm.harvard.edu/uploads/2/3/3/4/23349210/aharanovich_2016.pdf,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown\nGreen Networking Metrics,https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Clemm-Dong-Mirsky-Ciavaglia-Tantsura-Odini_Green-Networking-Metrics.pdf,Energy & Sustainability in Quantum Computing,Unknown,Unknown,Unknown,Unknown,Unknown\n\"18th Conference on the Theory of Quantum Computation, Communication and Cryptography\",https://inspirehep.net/files/36042b35a0a8b68d0c63390592af9491,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms - Javier Mancilla, Christophe Pere\",https://www.mdpi.com/1099-4300/24/11/1656,,Unknown,Unknown,Unknown,Unknown,Unknown\nA Tutorial on Quantum Error Correction - Andrew M. Steane,https://www2.physics.ox.ac.uk/sites/default/files/ErrorCorrectionSteane06.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"An Algebraic Language for Distributed Quantum Computing - Mingsheng Ying, Yuan Feng\",https://ieeexplore.ieee.org/document/4745631,,Unknown,Unknown,Unknown,Unknown,Unknown\nPhotonic resource state generation from a minimal number of quantum emitters,https://www.nature.com/articles/s41534-022-00522-6,Quantum Photonics,Unknown,Unknown,Unknown,Unknown,Unknown\nAdvances in Silicon Quantum Photonics - Jeremy C. Adcock; Jueming Bao; Yulin Chi; Xiaojiong Chen; Davide Bacco; Qihuang,https://ieeexplore.ieee.org/document/9205209/authors#authors,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Error Correcting Codes in Quantum Theory, Andrew Steane\",https://users.physics.ox.ac.uk/~Steane/pubs/Steane_PRL95.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\nThe Physical Implementation of Quantum Computation,https://arxiv.org/abs/quant-ph/0002077,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum computational advantage with a programmable photonic processor,https://www.nature.com/articles/s41586-022-04725-x,Quantum Supremacy & Computational Advantage,Unknown,Unknown,Unknown,Unknown,Unknown\nThe Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics - Vlatko Vedral,https://www.mdpi.com/2624-960X/5/2/31,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"The Future of Quantum Computing with Superconducting Qubits - Sergey Bravyi, Oliver Dial, Jay M. Gambetta, Dar ́ıo Gil, and Zaira Nazario1\",https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/The-future-of-quantum-computing-with?gad_source=1&gclid=CjwKCAjwzN-,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Generation of broadband correlated photon-pairs in short thin-film lithium-niobate waveguides - Bradley S. Elkus, et. al\",https://opg.optica.org/directpdfaccess/02ed958b-dc38-449c-b5d94c4360c660b2_424684/oe-27-26-38521.pdf?da=1&id=424684&seq=0&mobile=no,,Unknown,Unknown,Unknown,Unknown,Unknown\nField-linked resonances of polar molecules,https://www.nature.com/articles/s41586-022-05651-8,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Request_Scheduling_in_Quantum_Networks - C. Cicconetti, M. Conti, and A. Passarella\",https://www.researchgate.net/publication/352621787_Request_Scheduling_in_Quantum_Networks,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Reducing Green House Gas Emissions With Congestion Control - Michael Welzl, Ozgu Alay, Peyman Teymoori, Safiqul Islam\",https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Welzel-Alay-Teymoori-Islam_Reducing-Green-House-Gas-Emissions-With-Congestion-Control-v2.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum supremacy using a programmable superconducting processor,https://www.nature.com/articles/s41586-019-1666-5,Quantum Supremacy & Computational Advantage,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum communications and cryptography,https://people.bu.edu/alexserg/Impression_Book.pdf,Quantum Communication & Cryptography,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Discrete simulation of quantum walks - Madita Willsch, Dennis Willsch, Kristel Michielsen, and Hans De Raedt\",https://www.frontiersin.org/articles/10.3389/fphy.2020.00145/full,,Unknown,Unknown,Unknown,Unknown,Unknown\nOn the CNOT-cost of TOFFOLI gates,https://dl.acm.org/doi/10.5555/2011791.2011799,Quantum Circuits,Unknown,Unknown,Unknown,Unknown,Unknown\nTransitioning organizations to post-quantum cryptography,https://www.nature.com/articles/s41586-022-04623-2,Quantum Communication & Cryptography,Unknown,Unknown,Unknown,Unknown,Unknown\nDistribution of entanglement in large-scale quantum networks,https://iopscience.iop.org/article/10.1088/0034-4885/76/9/096001/pdf,Quantum Entanglement & Teleportation,Unknown,Unknown,Unknown,Unknown,Unknown\nGeneralized GHZ States and Distributed Quantum Computing,https://arxiv.org/abs/quant-ph/0402148,Quantum Entanglement & Teleportation,Unknown,Unknown,Unknown,Unknown,Unknown\nSubstituting Quantum Entanglement for Communication,https://arxiv.org/pdf/quant-ph/9704026,Quantum Entanglement & Teleportation,Unknown,Unknown,Unknown,Unknown,Unknown\nImplementing Post-quantum Cryptography for Developers,https://www.scitepress.org/Papers/2022/107862/107862.pdf,Quantum Communication & Cryptography,Unknown,Unknown,Unknown,Unknown,Unknown\nAn introduction to measurement based quantum computation - Richard Jozsa,https://arxiv.org/abs/quant-ph/0508124,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"The Toric Code, Paul Herringer\",https://www.physics.rutgers.edu/grad/602/Lectures/JC_Presentations/0419/Intro_Toric_Code.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum simulator enables first microscopic observation of charge carriers pairing,https://www.mpq.mpg.de/6803661/01-magnetic-pairing,Ion Traps,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Topological quantum memory - Eric Dennis,Alexei Kitaev,Andrew Landahl,and John Preskill\",https://arxiv.org/abs/quant-ph/0110143,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Universal and operational benchmarking of quantum memories - Xiao Yuan, Yunchao Liu, Qi Zhao, Bartosz Regula, Jayne Thompson and Mile Gu\",https://bartoszregula.me/pdf/s41534-021-00444-9.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown\nQuantum principal component analysis,https://www.nature.com/articles/nphys3029#Sec2,Quantum Algorithms,Unknown,Unknown,Unknown,Unknown,Unknown\n\"How many qubits are needed for quantum computational supremacy? - Alexander M. Dalzell1, Aram W. Harrow, Dax Enshan Koh, and Rolando L. La Placa\",https://quantum-journal.org/papers/q-2020-05-11-264/,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Implementing the quantum random walk - B. C. Travaglione, G. J. Milburn\",https://arxiv.org/abs/quant-ph/0109076,,Unknown,Unknown,Unknown,Unknown,Unknown\nMemory cost of quantum protocols,https://www.researchgate.net/publication/51965796_Memory_cost_of_quantum_protocols,Quantum Memories,Unknown,Unknown,Unknown,Unknown,Unknown\nExperimental exploration of five-qubit quantum error-correcting code with superconducting qubits,https://ora.ox.ac.uk/objects/uuid:5b2e5204-7746-4569-807e-77654a77313a/files/s0v838175c,Quantum Error Correction,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Channel Waveguides in Lithium Niobate and Lithium Tantalate- Yi Lu, Benjamin Johnston, Peter Dekker, Michael J Withford, Judith M Dawes\",https://pubmed.ncbi.nlm.nih.gov/32867367/,,Unknown,Unknown,Unknown,Unknown,Unknown\nOptimal architectures for long distance quantum communication,https://www.nature.com/articles/srep20463,Quantum Repeater Architectures,Unknown,Unknown,Unknown,Unknown,Unknown\nStabilizer Codes and Quantum Error Correction -Thesis by Daniel Gottesman,https://arxiv.org/abs/quant-ph/9705052,,Unknown,Unknown,Unknown,Unknown,Unknown\nMultiple Particle Interference and Quantum Error Correction - Andrew Steane,https://arxiv.org/abs/quant-ph/9601029Multiplexed quantum repeaters,,Unknown,Unknown,Unknown,Unknown,Unknown\n\"Multiple Particle Interference and Quantum Error Correction, Andrew Steane\",https://arxiv.org/abs/quant-ph/9601029,,Unknown,Unknown,Unknown,Unknown,Unknown\nWhy Philosophers Should Care About Computational Complexity,https://arxiv.org/abs/1108.1791,Commercial and Philosophical Views,Why Philosophers Should Care About Computational Complexity,\"One might think that, once we know something is computable, how efficiently\nit can be computed is a practical question with little further philosophical\nimportance. In this essay, I offer a detailed case that one would be wrong. In\nparticular, I argue that computational complexity theory -- the field that\nstudies the resources (such as time, space, and randomness) needed to solve\ncomputational problems -- leads to new perspectives on the nature of\nmathematical knowledge, the strong AI debate, computationalism, the problem of\nlogical omniscience, Hume's problem of induction, Goodman's grue riddle, the\nfoundations of quantum mechanics, economic rationality, closed timelike curves,\nand several other topics of philosophical interest. I end by discussing aspects\nof complexity theory itself that could benefit from philosophical analysis.\",Scott Aaronson,arXiv,\"cs.CC, quant-ph\"\nlambeq: An Efficient High-Level Python Library for Quantum NLP,https://arxiv.org/abs/2110.04236,Natural Language Processing & Quantum Computing,lambeq: An Efficient High-Level Python Library for Quantum NLP,\"We present lambeq, the first high-level Python library for Quantum Natural\nLanguage Processing (QNLP). The open-source toolkit offers a detailed hierarchy\nof modules and classes implementing all stages of a pipeline for converting\nsentences to string diagrams, tensor networks, and quantum circuits ready to be\nused on a quantum computer. lambeq supports syntactic parsing, rewriting and\nsimplification of string diagrams, ansatz creation and manipulation, as well as\na number of compositional models for preparing quantum-friendly representations\nof sentences, employing various degrees of syntax sensitivity. We present the\ngeneric architecture and describe the most important modules in detail,\ndemonstrating the usage with illustrative examples. Further, we test the\ntoolkit in practice by using it to perform a number of experiments on simple\nNLP tasks, implementing both classical and quantum pipelines.\",\"Dimitri Kartsaklis, Ian Fan, Richie Yeung, Anna Pearson, Robin Lorenz, Alexis Toumi, Giovanni de Felice, Konstantinos Meichanetzidis, Stephen Clark, Bob Coecke\",arXiv,\"cs.CL, cs.AI, quant-ph\"\n"
  },
  {
    "path": "data/inputs/papers_data.csv",
    "content": "Title,Web,Category\n2D materials for quantum information science,https://www.nature.com/articles/s41578-019-0136-x,\n\"18th Conference on the Theory of Quantum Computation, Communication and Cryptography\",https://inspirehep.net/files/36042b35a0a8b68d0c63390592af9491,\n\"A Grand Unification of Quantum Algorithms - John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang\",https://arxiv.org/abs/2105.02859,\n\"A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms - Javier Mancilla, Christophe Pere\",https://www.mdpi.com/1099-4300/24/11/1656,\nA Review of Quantum Computer Energy Efficiency - Nelly Elsayed† Anthony S. Maida† Magdy Bayoumi,https://ieeexplore.ieee.org/abstract/document/8767125,\nA Tutorial on Quantum Error Correction - Andrew M. Steane,https://www2.physics.ox.ac.uk/sites/default/files/ErrorCorrectionSteane06.pdf,\nA generalization of the stabilizer formalism for simulating arbitrary quantum circuits - Theodore J. Yoder,https://www.scottaaronson.com/showcase2/report/ted-yoder.pdf,\n\"A photonic cluster state machine gun - Netanel H. Lindner, Terry Rudolph\",https://arxiv.org/abs/0810.2587,\n\"A quantum walk control plane for distributed quantum computing in quantum networks - Matheus Guedes de Andrade, Wenhan Dai, Saikat Guha, Don Towsley\",https://arxiv.org/abs/2106.09839,\n\"Active learning of quantum system Hamiltonians yields query advantage - Arkopal Dutt, et.al\",https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033060,\nAdvances in Silicon Quantum Photonics - Jeremy C. Adcock; Jueming Bao; Yulin Chi; Xiaojiong Chen; Davide Bacco; Qihuang,https://ieeexplore.ieee.org/document/9205209/authors#authors,\n\"Advances in Quantum Cryptography - S. Pirandola, et.al\",https://arxiv.org/pdf/1906.01645.pdf,\n\"All-photonic quantum repeaters - Koji Azuma, Kiyoshi Tamaki & Hoi-Kwong Lo\",https://arxiv.org/abs/1309.7207,\n\"An Algebraic Language for Distributed Quantum Computing - Mingsheng Ying, Yuan Feng\",https://ieeexplore.ieee.org/document/4745631,\n\"An Architecture for Meeting Quality-of-Service Requirements in Multi-User Quantum Networks - Matthew Skrzypczyk, Stephanie Wehner\",https://arxiv.org/abs/2111.13124,\nAn energy efficient multipliers using reversible gates,https://www.researchgate.net/publication/347857423_An_energy_efficient_multipliers_using_reversible_gates,\nAn introduction to measurement based quantum computation - Richard Jozsa,https://arxiv.org/abs/quant-ph/0508124,\n\"Anti-Hong-Ou-Mandel effect with entangled photons - Anton N. Vetlugin, Ruixiang Guo, Cesare Soci, Nikolay I. Zheludev\",https://arxiv.org/abs/2105.05444,\nAssembly and coherent control of a register of nuclear spin qubits,https://arxiv.org/abs/2108.04790,\n\"Automated distribution of quantum circuits via hypergraph partitioning - Pablo Andrés-Martínez, Chris Heunen\",https://arxiv.org/abs/1811.10972,\n\"Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer - J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer, Ashlesha Patil, ...\",https://arxiv.org/abs/2010.02905,\n\"Bootstrap Embedding on a Quantum Computer -Yuan Liu, et.al.\",https://arxiv.org/pdf/2301.01457.pdf,\n\"Channel Waveguides in Lithium Niobate and Lithium Tantalate- Yi Lu, Benjamin Johnston, Peter Dekker, Michael J Withford, Judith M Dawes\",https://pubmed.ncbi.nlm.nih.gov/32867367/,\n\"Classical, quantum and total correlations - L Henderson and V Vedral\",https://iopscience.iop.org/article/10.1088/0305-4470/34/35/315,\n\"Coherent shuttle of electron-spin states - T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, L. M. K. Vandersype\",https://arxiv.org/abs/1701.00815,\n\"Commercial applications of quantum computing - Francesco Bova, Avi Goldfarb, Roger G. Melko\",https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-021-00091-1,\n\"Comparing coherent and incoherent models for quantum homogenization - Anna Beever, Maria Violaris, Chiara Marletto, and Vlatko Vedral\",https://arxiv.org/pdf/2309.15741.pdf,\n\"Conservation Laws Reveal the Quantumness of Gravity - Tianfeng Feng, Chiara Marletto, Vlatko Vedral\",https://arxiv.org/abs/2311.08971,\n\"Constructor Theory of Information - David Deutsch, Chiara Marletto\",https://arxiv.org/abs/1405.5563,\nConstructor Theory of Life - Chiara Marletto,https://arxiv.org/abs/1407.0681,\nConstructor Theory of Probability,https://arxiv.org/abs/1507.03287,\nConstructor Theory of Thermodynamics - Chiara Marletto,https://arxiv.org/abs/1608.02625,\nContinued Fractions and Probability Estimations in Shor’s Algorithm: A Detailed and Self-Contained Treatise -Johanna Barzen and Frank Leymann,https://arxiv.org/abs/2205.01925,\nDeep Learning with Coherent Nanophotonic Circuits - Yichen Shen,https://arxiv.org/pdf/1610.02365.pdf,\n\"Designing a Quantum Network Protocol - Wojciech Kozlowski, Axel Dahlberg, Stephanie Wehner\",https://arxiv.org/abs/2010.02575,\n\"Discrete simulation of quantum walks - Madita Willsch, Dennis Willsch, Kristel Michielsen, and Hans De Raedt\",https://www.frontiersin.org/articles/10.3389/fphy.2020.00145/full,\n\"Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage - Torsten Hoefler, Thomas Haner and Matthias Troyer\",https://arxiv.org/pdf/2307.00523.pdf,\n\"Distribution of entanglement in large-scale quantum networks - S Perseguers, G J Lapeyre Jr, D Cavalcanti, M Lewenstein and A Acin\",https://iopscience.iop.org/article/10.1088/0034-4885/76/9/096001/pdf,\n\"Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing - M. Cerezo et. al.\",https://arxiv.org/pdf/2312.09121.pdf,\n\"Efficient parametric frequency conversion in lithium niobate nanophotonic chips - Jia-yang Chen, Yong Meng Sua, Zhao-hui Ma, Chao Tang, Zhan Li, Yu-ping Huang\",https://arxiv.org/abs/1903.08722,\n\"Electrical Tuning of Neutral and Charged Excitons with 1-nm Gate - Jawaher Almutlaq, et. al.\",https://arxiv.org/pdf/2310.19895.pdf,\n\"Elementary gates for quantum computation - Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, ...\",https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457?cm_mc_uid=43781767191014577577895&cm_mc_sid_50200000=1460741020,\nEnergy-Efficient Superconducting Computing—Power Budgets and Requirements,https://ieeexplore.ieee.org/abstract/document/6449287,\n\"Error Correcting Codes in Quantum Theory, Andrew Steane\",https://users.physics.ox.ac.uk/~Steane/pubs/Steane_PRL95.pdf,\nEnergy-Efficient Superconducting Computing—Power Budgets and Requirements,https://ieeexplore.ieee.org/abstract/document/6449287,\nEnergy & Information - Myron Tribus and Edward C. McIrvine,https://www.jstor.org/stable/24923125?saml_data=eyJzYW1sVG9rZW4iOiIzYThiNDZlMi1iZGVhLTRlMGQtOGExOC03YzQ2ZDZkNzQyNWQiLCJpbnN0aXR1dGlvbklkcyI6WyJiN2JlMjYxZS1hOWVhLTRiZGYtOWVjNS00ZWVkN2NhNTI5NzIiXX0#metadata_info_tab_contents,\n\"Entanglement in Many-Body Systems - Luigi Amico, Rosario Fazio, Vlatko Vedral\",https://arxiv.org/pdf/quant-ph/0703044.pdf,\n\"Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing - Andrew K. Tan, Yuan Liu, Minh C. Tran, Isaac L. Chuang\",https://arxiv.org/pdf/2301.08542.pdf,\nEstablishing the quantum supremacy frontier with a 281 Pflop/s simulation,https://iopscience.iop.org/article/10.1088/2058-9565/ab7eeb/pdf?casa_token=fqUuMeRiHW8AAAAA:-qCFEf4B8q71vIHgiBtzWC_CMtpzILLTB5PaGoVOSn-EugRt6crwFnEY65HH3AwY_zVOkq2gmQ,\n\"Experimental demonstration of memory-enhanced quantum communication - Mihir K. Bhaskar, Ralf Riedinger, Bartholomeus Machielse, David S. Levonian,...\",https://arxiv.org/abs/1909.01323,\n\"Experimental Estimation of Quantum State Properties from Classical Shadows - G.I. Struchalin, Ya.A. Zagorovskii, E.V. Kovlakov, S.S.Straupe, S.P. Kulik\",https://arxiv.org/abs/2008.05234,\n\"Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits - Ming Gong, Xiao Yuan, Shiyu Wang, Yulin Wu, ...\",https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiH6f7Sk8n5AhW6S0EAHYpcCL0QFnoECAsQAQ&url=https%3A%2F%2Fora.ox.ac.uk%2Fobjects%2Fuuid%3A5b2e5204-7746-4569-807e-77654a77313a%2Ffiles%2Fs0v838175c&usg=AOvVaw3l2-7GFf0m6Fw14IpYljjx,\n\"Experimental violation of Bell inequalities for multi-dimensional systems - Hsin-Pin Lo1, Che-Ming Li2, AtsushiYabushita1, Yueh-NanChen3, Chih-Wei Luo1 & Takayoshi Kobayashi\",https://www.nature.com/articles/srep22088,\n\"Exponential speedups for quantum walks in random hierarchical graphs - Shankar Balasubramanian, Tongyang Li, and Aram Harrow\",https://arxiv.org/abs/2307.15062,\n\"Fault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by Classical Error-Correcting Codes - Ching-Yi Lai, Yi-Cong Zheng, and Todd A. Brun\",https://arxiv.org/abs/1605.05647,\n\"Field-Deployable Quantum Memory for Quantum Networking - Yang Wang, Alexander N. Craddock, Rourke Sekelsky, Mael Flament, and Mehdi Namazi\",https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.044058,\nField-linked resonances of polar molecules,https://www.nature.com/articles/s41586-022-05651-8,\n\"Five open problems in theory of quantum information - Paweł Horodecki, Łukasz Rudnicki, Karol Życzkowski\",https://arxiv.org/abs/2002.03233,\n\"Foundations for Near-Term Quantum Natural Language Processing - Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi\",https://arxiv.org/abs/2012.03755,\nFundamental Principle of Information-to-Energy Conversion - Antonio Alfonso-Faus,https://arxiv.org/abs/1401.6052,\n\"Fusion-based quantum computation - Sara Bartolucci, Patrick Birchall, Hector Bombin, Hugo Cable, Chris Dawson, Mercedes Gimeno-Segovia, Eric Johnston, ...\",https://arxiv.org/abs/2101.09310,\n\"Gate Set Tomography - Erik Nielsen, John King Gamble, Kenneth Rudinger, Travis Scholten, Kevin Young1, and Robin Blume-Kohout\",https://arxiv.org/abs/2009.07301,\n\"Generalized GHZ States and Distributed Quantum - Anocha Yimsiriwattana, Samuel J. Lomonaco Jr\",https://arxiv.org/abs/quant-ph/0402148,\n\"Generation of broadband correlated photon-pairs in short thin-film lithium-niobate waveguides - Bradley S. Elkus, et. al\",https://opg.optica.org/directpdfaccess/02ed958b-dc38-449c-b5d94c4360c660b2_424684/oe-27-26-38521.pdf?da=1&id=424684&seq=0&mobile=no,\n\"High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides - Jie Zhao, Chaoxuan Ma, Michael Rüsing, and Shayan Mookherjea\",https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.163603,\n\"How many qubits are needed for quantum computational supremacy? - Alexander M. Dalzell1, Aram W. Harrow, Dax Enshan Koh, and Rolando L. La Placa\",https://quantum-journal.org/papers/q-2020-05-11-264/,\n\"Implementation of multidimensional quantum walks using linear optics and classical light - Sandeep K. Goyal, Filippus S. Roux, Andrew Forbes, and Thomas Konrad\",https://journals.aps.org/pra/abstract/10.1103/PhysRevA.92.040302,\n\"Implementing Post-quantum Cryptography for Developers - Julius Hekkala, Kimmo Halunen and Visa Vallivaara\",https://www.scitepress.org/Papers/2022/107862/107862.pdf,\n\"Implementing the quantum random walk - B. C. Travaglione, G. J. Milburn\",https://arxiv.org/abs/quant-ph/0109076,\n\"Interference in Quantum Field Theory: Detecting Ghosts with Phases - Chiara Marletto, Vlatko Vedral\",https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202200530,\nIs quantum computing green? An estimate for an energy-efficiency quantum advantage - Daniel Jaschke and Simone Montangero,https://arxiv.org/pdf/2205.12092.pdf,\n\"lambeq: An Efficient High-Level Python Library for Quantum NLP - Dimitri Kartsaklis, Ian Fan, Richie Yeung, Anna Pearson, Robin Lorenz,...\",https://arxiv.org/abs/2110.04236,\n\"Large-scale optical characterization of solid-state quantum emitters - Madison Sutula, et. al.\",https://arxiv.org/pdf/2210.13643.pdf,\n\"Linear growth of quantum circuit complexity, by Jonas Haferkamp, Philippe Faist , Naga B. T. Kothakonda, Jens Eisert, and Nicole Yunger Halpern.\",https://www.nature.com/articles/s41567-022-01539-6,\nLocality in the Schrodinger Picture of Quantum Mechanics - Vlatko Vedral,https://arxiv.org/pdf/2312.04701.pdf,\n\"Memory cost of quantum protocols - Alessandro Bisio, Giacomo Mauro D’Ariano, and Paolo Perinott\",https://www.researchgate.net/publication/51965796_Memory_cost_of_quantum_protocols,\n\"Microwave Quantum Memristors - X.-Y. Qiu, S. Kumar, F. A. Cárdenas-López, G. Alvarado Barrios, E. Solano, F.Albarrán-Arriagada\",https://arxiv.org/abs/2311.06925,\nMitigating the quantum hype - Olivier Ezratty,https://arxiv.org/abs/2202.01925,\n\"Mitiq: A software package for error mitigation on noisy quantum computers - Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, ...\",https://arxiv.org/abs/2009.04417,\n\"Multi-state quantum simulations via model-space quantum imaginary time evolution - Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro L. Ten-no\",https://arxiv.org/abs/2206.04494,\n\"Multiple Particle Interference and Quantum Error Correction, Andrew Steane\",https://arxiv.org/abs/quant-ph/9601029,\nMultiple Particle Interference and Quantum Error Correction - Andrew Steane,https://arxiv.org/abs/quant-ph/9601029Multiplexed quantum repeaters,\n\"Multiplexed quantum repeaters based on dual-species trapped-ion systems - Prajit Dhara, Norbert M. Linke, Edo Waks, Saikat Guha, Kaushik P. Seshadreesan\",https://arxiv.org/abs/2105.06707,\n\"NetSquid, a NETwork Simulator for QUantum Information using Discrete events - Tim Coopmans, Robert Knegjens, Axel Dahlberg, David Maier, Loek Nijsten, ...\",https://arxiv.org/abs/2010.12535,\n\"Noisy dynamical systems evolve error correcting codes and modularity - Trevor McCourt, Ila R. Fiete, and Isaac L. Chuang\",https://arxiv.org/pdf/2303.14448.pdf,\n\"Observable Thermalization: Theory, Numerical and Analytical Evidence - Lodovico Scarpa, Fabio Anza,Vlatko Vedral\",https://arxiv.org/pdf/2309.15173.pdf,\n\"On the CNOT-cost of TOFFOLI gates - Vivek V. Shende, Igor L. Markov\",https://dl.acm.org/doi/10.5555/2011791.2011799,\n\"One-Dimensional Quantum Walks - Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, John Watrous\",https://dl.acm.org/doi/10.1145/380752.380757,\n\"Optimal architectures for long distance quantum communication - Sreraman Muralidharan, Linshu Li, Jungsang Kim, Norbert Lütkenhaus, Mikhail D. Lukin & Liang Jiang\",https://www.nature.com/articles/srep20463,\n\"Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction - Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen, Vladimir Rastunkov, Vanio Markov\",https://arxiv.org/abs/2303.05488,\n\"Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer via parity detection - Dong Li, Bryan T. Gard, Yang Gao3, Chun-Hua Yuan1, Weiping Zhang1, Hwang Lee, Jonathan P. Dowling\",https://arxiv.org/abs/1603.09019,\n\"Photonic resource state generation from a minimal number of quantum emitters - Bikun Li, Sophia E. Economou, and Edwin Barnes\",https://www.nature.com/articles/s41534-022-00522-6,\nPosition paper: Green Networking Metrics - draft-cx-green-metrics,https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Clemm-Dong-Mirsky-Ciavaglia-Tantsura-Odini_Green-Networking-Metrics.pdf,\n\"Power of sequential protocols in hidden quantum channel discrimination - Sho Sugiura, et.al\",https://arxiv.org/pdf/2304.02053.pdf,\n\"Practical Benchmarking of Randomized Measurement Methods for Quantum Chemistry Hamiltonians - Arkopal Dutt, et.al\",https://arxiv.org/pdf/2312.07497.pdf,\n\"Practical randomness and privacy amplification - Cameron Foreman, Sherilyn Wright, Alec Edgington, Mario Berta, Florian J. Curchod\",https://arxiv.org/abs/2009.06551,\n\"Predicting Many Properties of a Quantum System from Very Few Measurements - Hsin-Yuan Huang, Richard Kueng, John Preskill\",https://arxiv.org/abs/2002.08953,\n\"Programmable Heisenberg interactions between Floquet qubits - Long B. Nguyen, Yosep Kim, Akel Hashim, Noah Goss, Brian Marinelli, ...\",https://arxiv.org/abs/2211.10383,\n\"Proposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics - Jia-Wei Ji, Yu-Feng Wu, Stephen C. Wein, ...\",https://arxiv.org/abs/2012.06687,\n\"Protocols for creating and distilling multipartite GHZ states with Bell pairs - Sébastian de Bone, Runsheng Ouyang, Kenneth Goodenough, David Elkouss\",https://arxiv.org/abs/2010.12259,\n\"Quantum algorithm for linear systems of equations - Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd\",https://arxiv.org/pdf/0811.3171.pdf,\n\"Quantum Computational Supremacy - Aram W. Harrow, Ashley Montanaro\",https://arxiv.org/pdf/1809.07442.pdf,\n\"Quantum computing at the frontiers of biological sciences - Prashant S. Emani, et. al.\",https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254820/,\n\"Quantum Data Center: Theories and Applications - Junyu Liu, Connor T. Hann, and Liang Jiang1\",https://arxiv.org/abs/2207.14336,\n\"Quantum Internet Protocol Stack a Comprehensive Survey - Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti\",https://arxiv.org/abs/2202.10894,\nQuantum Particles and Classical Particles - Nathan Rosen,https://link.springer.com/article/10.1007/BF00735376,\n\"Quantum principal component analysis - Seth Lloyd, Masoud Mohseni and Patrick Rebentrost\",https://www.nature.com/articles/nphys3029#Sec2,\nQuantum simulator enables first microscopic observation of charge carriers pairing,https://www.mpq.mpg.de/6803661/01-magnetic-pairing,\nQuantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model - Reinhard F. Werner,https://journals.aps.org/pra/pdf/10.1103/PhysRevA.40.4277,\nQuantum Support Vector Machine for Big Data Classification,https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.113.130503,\n\"Quantum supremacy using a programmable superconducting processor - Frank Arute1, Kunal Arya1, Ryan Babbush1, Dave Bacon\",https://www.nature.com/articles/s41586-019-1666-5,\n\"Quantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels - Marcello Caleffi, Angela Sara Cacciapuoti\",https://arxiv.org/abs/1907.07432,\n\"Quantum advantage in learning from experiments - Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, ...\",https://arxiv.org/abs/2112.00778,\nQuantum communications and cryptography - Alexander V. Sergienko,https://people.bu.edu/alexserg/Impression_Book.pdf,\n\"Quantum computational advantage using photons - Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, ...\",https://www.science.org/doi/10.1126/science.abe8770,\n\"Quantum computational advantage with a programmable photonic processor - Lars S. Madsen, Fabian Laudenbach, Mohsen Falamarzi. Askarani, ...\",https://www.nature.com/articles/s41586-022-04725-x,\n\"Quantum computing with photons - introduction to the circuit model, the one way quantum computer, and the fundamental principles of photonic experiments\",https://iopscience.iop.org/article/10.1088/0953-4075/48/8/083001,\nQuantum Computing - Andrew Steane,https://arxiv.org/abs/quant-ph/9708022,\n\"Quantum information processing with bosonic qubits in circuit QED - Atharv Joshi, Kyungjoo Noh, and Yvonne Y Gao\",https://iopscience.iop.org/article/10.1088/2058-9565/abe989/pdf,\n\"Quantum mechanics with real numbers: entanglement, superselection rules and gauges - Vlatko Vedral\",https://arxiv.org/pdf/2308.05473.pdf,\nQuantum Optical Neural Networks (Patent Application),https://patentimages.storage.googleapis.com/fa/61/94/ec20dc003a6517/US20200372334A1.pdf,\n\"Quantum readout error mitigation via deep learning - Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, and Daniel K Park\",https://iopscience.iop.org/article/10.1088/1367-2630/ac7b3d,\nQuantum walks a comprehensive review - Salvador E. Venegas-Andraca,https://arxiv.org/abs/1201.4780,\n\"Quantum-Enhanced Data Classification with a Variational Entangled Sensor Network - Yi Xia, Wei Li, Quntao Zhuang, Zheshen Zhang\",https://arxiv.org/abs/2006.11962,\n\"Quantum Long Short-Term Memory - Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang\",https://arxiv.org/abs/2009.01783,\n\"Rate limits in quantum networks with lossy repeaters - Riccardo Laurenza, Nathan Walk, Jens Eisert and Stefao Pirandola\",https://arxiv.org/pdf/2110.10168.pdf,\nReal-time quantum error correction beyond break-even,https://arxiv.org/abs/2211.09116,\n\"Realization of Real-Time Fault-Tolerant Quantum Error Correction - C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, Francois, A. Chernoguzov, ...\",https://journals.aps.org/prx/abstract/10.1103/PhysRevX.11.041058,\n\"Reducing Green House Gas Emissions With Congestion Control - Michael Welzl, Ozgu Alay, Peyman Teymoori, Safiqul Islam\",https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Welzel-Alay-Teymoori-Islam_Reducing-Green-House-Gas-Emissions-With-Congestion-Control-v2.pdf,\n\"Request_Scheduling_in_Quantum_Networks - C. Cicconetti, M. Conti, and A. Passarella\",https://www.researchgate.net/publication/352621787_Request_Scheduling_in_Quantum_Networks,\n\"Room temperature quantum key distribution characteristics of low‑noise InGaAs/InP single‑photon avalanche diode - Soo‑Hyun Baek, Seung‑Chul Yang1, Chan‑Yong Park\",https://link.springer.com/article/10.1007/s40042-021-00111-4,\nRearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures,https://arxiv.org/pdf/2405.19503,\n\"Resource savings from fault-tolerant circuit design - Andrew K. Tan, Isaac L. Chuang\",https://arxiv.org/pdf/2311.02132.pdf,\n\"Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing - David Barral, et. al.\",https://arxiv.org/abs/2404.01265,\n\"Scaling silicon-based quantum computing using CMOS technology - M. F. Gonzalez-Zalba, S. de Franceschi, E. Charbon, T. Meunier, M. Vinet, A. S. Dzurak\",https://arxiv.org/abs/2011.11753,\n\"Scheme for reducing decoherence in quantum computer memory, Peter W. Shor\",https://www.cs.miami.edu/home/burt/learning/Csc670.052/pR2493_1.pdf,\n\"SeQUeNCe a customizable discrete-event simulator of quantum networks - Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin,, Tian Zhong, ...\",https://arxiv.org/abs/2009.12000,\n\"Simple Proof of Security of the BB84 Quantum Key Distribution Protocol -Peter W. Shor, John Preskill\",https://arxiv.org/abs/quant-ph/0003004,\n\"Single-shot Quantum Signal Processing Interferometry - Jasmine Sinanan-Singh, Gabriel L. Mintzer, Isaac L. Chuang, and Yuan Liu\",https://arxiv.org/pdf/2311.13703.pdf,\n\"Solid-state single-photon emitters - Igor Aharonovich, Dirk Englund and Milos Toth\",http://ciqm.harvard.edu/uploads/2/3/3/4/23349210/aharanovich_2016.pdf,\n\"Solitons near avoided mode crossings in χ(2) nanowaveguides - William R. Rowe, Andrey V. Gorbach, Dmitry V. Skryabin\",https://arxiv.org/abs/2108.08563,\nStabilizer Codes and Quantum Error Correction -Thesis by Daniel Gottesman,https://arxiv.org/abs/quant-ph/9705052,\nStim: a fast stabilizer circuit simulator -Craig Gidney,https://arxiv.org/abs/2103.02202v3,\nSubstituting Quantum Entanglement for Communication - Richard Cleve and Harry Buhrman,https://arxiv.org/pdf/quant-ph/9704026,\n\"Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead - Oscar Higgott, Nikolas P. Breuckmann\",https://arxiv.org/abs/2010.09626,\n\"Supervised learning with quantum enhanced feature spaces - Vojtech Havlicek, et.al\",https://arxiv.org/pdf/1804.11326.pdf,\n\"Surface codes: Towards practical large-scale quantum computation - Austin G. Fowler, Matteo Mariantoni, John M. Martinis and Andrew N. Cleland\",https://arxiv.org/abs/1208.0928,\n\"Symmetry-invariant quantum machine learning force fields - Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino\",https://arxiv.org/abs/2311.11362,\n\"Teleportation of entanglement over 143 km - Thomas Herbst, Thomas Scheidl, Matthias Fink, Johannes Handsteiner, Bernhard Wittmann, Rupert Ursin, Anton Zeilinger\",https://arxiv.org/abs/1403.0009,\n\"The Computational and Latency Advantage of Quantum Communication Networks - Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H.P. Fitzek and Holger Boche\",https://arxiv.org/pdf/2106.03360.pdf,\nThe Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics - Vlatko Vedral,https://www.mdpi.com/2624-960X/5/2/31,\nThe Physical Implementation of Quantum Computation,https://arxiv.org/abs/quant-ph/0002077,\n\"The SWAP test and the Hong-Ou-Mandel effect are equivalent - Juan Carlos Garcia-Escartin, Pedro Chamorro-Posada\",https://arxiv.org/abs/1303.6814,\n\"The Toric Code, Paul Herringer\",https://www.physics.rutgers.edu/grad/602/Lectures/JC_Presentations/0419/Intro_Toric_Code.pdf,\n\"The Future of Quantum Computing with Superconducting Qubits - Sergey Bravyi, Oliver Dial, Jay M. Gambetta, Dar ́ıo Gil, and Zaira Nazario1\",https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/The-future-of-quantum-computing-with?gad_source=1&gclid=CjwKCAjwzN-,\nThe information-theoretic foundation of thermodynamic work extraction - Chiara Marletto,https://arxiv.org/abs/2009.04588,\n\"The role of quantum information in thermodynamics ~ a topical review - John Goold, Marcus Huber, Arnau Riera, L´ıdia del Rio, and Paul Skrzypczyk\",https://arxiv.org/abs/1505.07835,\n\"The_Virtual_Quantum_Optics_Laboratory - Brian R. La Cour, Maria Maynard, Parth Shroff, Gabriel Ko, Evan Ellis\",https://arxiv.org/abs/2105.07300,\n\"Topological quantum memory - Eric Dennis,Alexei Kitaev,Andrew Landahl,and John Preskill\",https://arxiv.org/abs/quant-ph/0110143,\n\"Tutorial: Remote entanglement protocols for stationary qubits with photonic interfaces - Hans K.C. Beukers, et.al.\",https://arxiv.org/pdf/2310.19878.pdf,\n\"Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment - Farzam Toudeh-Fallah, Marco Pistoia, Yasushi Kawakura,...\",https://arxiv.org/abs/2202.07764,\n\"Transitioning organizations to post-quantum cryptography - David Joseph1, Rafael Misoczki2, Marc Manzano1, Joe Tricot1, Fernando Dominguez, ...\",https://www.nature.com/articles/s41586-022-04623-2,\n\"Two-photon interference the Hong-Ou-Mandel effect - FrédÉric Bouchard, Alicia Sit, Yingwen Zhang, Robert Fickler, Filippo M. Miatto,...\",https://arxiv.org/abs/2006.09335,\n\"Universal and operational benchmarking of quantum memories - Xiao Yuan, Yunchao Liu, Qi Zhao, Bartosz Regula, Jayne Thompson and Mile Gu\",https://bartoszregula.me/pdf/s41534-021-00444-9.pdf,\nWhy Philosophers Should Care About Computational Complexity - Scott Aaronson,https://arxiv.org/abs/1108.1791,\nlambeq: An Efficient High-Level Python Library for Quantum NLP,https://arxiv.org/abs/2110.04236,\nA Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms,https://www.mdpi.com/1099-4300/24/11/1656,Quantum Protocol Design\nAn Algebraic Language for Distributed Quantum Computing,https://ieeexplore.ieee.org/document/4745631,Quantum Protocol Design\nDesigning a Quantum Network Protocol,https://arxiv.org/abs/2010.02575,Quantum Protocol Design\nPractical randomness and privacy amplification,https://arxiv.org/abs/2009.06551,Quantum Protocol Design\nProtocols for creating and distilling multipartite GHZ states with Bell pairs,https://arxiv.org/abs/2010.12259,Quantum Protocol Design\nSimple Proof of Security of the BB84 Quantum Key Distribution Protocol,https://arxiv.org/abs/quant-ph/0003004,Quantum Protocol Design\nA Grand Unification of Quantum Algorithms,https://arxiv.org/abs/2105.02859,Quantum Algorithms\nBootstrap Embedding on a Quantum Computer,https://arxiv.org/pdf/2301.01457.pdf,Quantum Algorithms\nContinued Fractions and Probability Estimations in Shor's Algorithm: A Detailed and Self-Contained Treatise,https://arxiv.org/abs/2205.01925,Quantum Algorithms\nDeep Learning with Coherent Nanophotonic Circuits,https://arxiv.org/pdf/1610.02365.pdf,Quantum Algorithms\nError Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing,https://arxiv.org/pdf/2301.08542.pdf,Quantum Algorithms\nExponential speedups for quantum walks in random hierarchical graphs,https://arxiv.org/abs/2307.15062,Quantum Algorithms\nHow many qubits are needed for quantum computational supremacy?,https://quantum-journal.org/papers/q-2020-05-11-264/,Quantum Algorithms\nLinear growth of quantum circuit complexity,https://www.nature.com/articles/s41567-022-01539-6,Quantum Algorithms\nOne-Dimensional Quantum Walks,https://dl.acm.org/doi/10.1145/380752.380757,Quantum Algorithms\n\"Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer via parity detection\",https://arxiv.org/abs/1603.09019,Quantum Algorithms\nPower of sequential protocols in hidden quantum channel discrimination,https://arxiv.org/pdf/2304.02053.pdf,Quantum Algorithms\nQuantum algorithm for linear systems of equations,https://arxiv.org/pdf/0811.3171.pdf,Quantum Algorithms\nQuantum principal component analysis,https://www.nature.com/articles/nphys3029#Sec2,Quantum Algorithms\nQuantum Support Vector Machine for Big Data Classification,https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.113.130503,Quantum Algorithms\nQuantum walks a comprehensive review,https://arxiv.org/abs/1201.4780,Quantum Algorithms\nQuantum Internet Protocol Stack a Comprehensive Survey,https://arxiv.org/abs/2202.10894,The Quantum Internet\nQuantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels,https://arxiv.org/abs/1907.07432,The Quantum Internet\nRate limits in quantum networks with lossy repeaters,https://arxiv.org/pdf/2110.10168.pdf,The Quantum Internet\nReview of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing,https://arxiv.org/abs/2404.01265,The Quantum Internet\nSeQUeNCe a customizable discrete-event simulator of quantum networks,https://arxiv.org/abs/2009.12000,The Quantum Internet\nThe Computational and Latency Advantage of Quantum Communication Networks,https://arxiv.org/pdf/2106.03360.pdf,The Quantum Internet\nAdvances in Silicon Quantum Photonics,https://ieeexplore.ieee.org/document/9205209/authors#authors,Silicon Based Technologies\nChannel Waveguides in Lithium Niobate and Lithium Tantalate,https://pubmed.ncbi.nlm.nih.gov/32867367/,Silicon Based Technologies\nElectrical Tuning of Neutral and Charged Excitons with 1-nm Gate,https://arxiv.org/pdf/2310.19895.pdf,Silicon Based Technologies\nGeneration of broadband correlated photon-pairs in short thin-film lithium-niobate waveguides,https://opg.optica.org/directpdfaccess/02ed958b-dc38-449c-b5d94c4360c660b2_424684/oe-27-26-38521.pdf?da=1&id=424684&seq=0&mobile=no,Silicon Based Technologies\nHigh Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides,https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.163603,Silicon Based Technologies\nScaling silicon-based quantum computing using CMOS technology,https://arxiv.org/abs/2011.11753,Silicon Based Technologies\nSolitons near avoided mode crossings in χ(2) nanowaveguides,https://arxiv.org/abs/2108.08563,Silicon Based Technologies\nAssembly and coherent control of a register of nuclear spin qubits,https://arxiv.org/abs/2108.04790,Ion Traps\nField-linked resonances of polar molecules,https://www.nature.com/articles/s41586-022-05651-8,Ion Traps\nLarge-scale optical characterization of solid-state quantum emitters,https://arxiv.org/pdf/2210.13643.pdf,Ion Traps\nProgrammable Heisenberg interactions between Floquet qubits,https://arxiv.org/abs/2211.10383,Ion Traps\nQuantum simulator enables first microscopic observation of charge carriers pairing,https://www.mpq.mpg.de/6803661/01-magnetic-pairing,Ion Traps\nRearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures,https://arxiv.org/pdf/2405.19503,Ion Traps\nAnti-Hong-Ou-Mandel effect with entangled photons,https://arxiv.org/abs/2105.05444,The Hong-Ou-Mandel Effect\nThe SWAP test and the Hong-Ou-Mandel effect are equivalent,https://arxiv.org/abs/1303.6814,The Hong-Ou-Mandel Effect\nTwo-photon interference the Hong-Ou-Mandel effect,https://arxiv.org/abs/2006.09335,The Hong-Ou-Mandel Effect\nA generalization of the stabilizer formalism for simulating arbitrary quantum circuits,https://www.scottaaronson.com/showcase2/report/ted-yoder.pdf,Quantum Circuits\nAutomated distribution of quantum circuits via hypergraph partitioning,https://arxiv.org/abs/1811.10972,Quantum Circuits\nElementary gates for quantum computation,https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457,Quantum Circuits\nOn the CNOT-cost of TOFFOLI gates,https://dl.acm.org/doi/10.5555/2011791.2011799,Quantum Circuits\nStim: a fast stabilizer circuit simulator,https://arxiv.org/abs/2103.02202v3,Quantum Circuits\nAn energy efficient multipliers using reversible gates,https://www.researchgate.net/publication/347857423_An_energy_efficient_multipliers_using_reversible_gates,Programmable Quantum Gates\nEnergy-Efficient Superconducting Computing—Power Budgets and Requirements,https://ieeexplore.ieee.org/abstract/document/6449287,Programmable Quantum Gates\nGate Set Tomography,https://arxiv.org/abs/2009.07301,Programmable Quantum Gates\nSingle-shot Quantum Signal Processing Interferometry,https://arxiv.org/pdf/2311.13703.pdf,Programmable Quantum Gates\nA Tutorial on Quantum Error Correction,https://www2.physics.ox.ac.uk/sites/default/files/ErrorCorrectionSteane06.pdf,Quantum Error Correction\nError Correcting Codes in Quantum Theory,https://users.physics.ox.ac.uk/~Steane/pubs/Steane_PRL95.pdf,Quantum Error Correction\nExperimental exploration of five-qubit quantum error-correcting code with superconducting qubits,https://ora.ox.ac.uk/objects/uuid:5b2e5204-7746-4569-807e-77654a77313a/files/s0v838175c,Quantum Error Correction\nFault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by Classical Error-Correcting Codes,https://arxiv.org/abs/1605.05647,Quantum Error Correction\nMultiple Particle Interference and Quantum Error Correction,https://arxiv.org/abs/quant-ph/9601029,Quantum Error Correction\nReal-time quantum error correction beyond break-even,https://arxiv.org/abs/2211.09116,Quantum Error Correction\nRealization of Real-Time Fault-Tolerant Quantum Error Correction,https://journals.aps.org/prx/abstract/10.1103/PhysRevX.11.041058,Quantum Error Correction\nResource savings from fault-tolerant circuit design,https://arxiv.org/pdf/2311.02132.pdf,Quantum Error Correction\nScheme for reducing decoherence in quantum computer memory,https://www.cs.miami.edu/home/burt/learning/Csc670.052/pR2493_1.pdf,Quantum Error Correction\nStabilizer Codes and Quantum Error Correction,https://arxiv.org/abs/quant-ph/9705052,Quantum Error Correction\nSurface codes: Towards practical large-scale quantum computation,https://arxiv.org/abs/1208.0928,Quantum Error Correction\nThe Toric Code,https://www.physics.rutgers.edu/grad/602/Lectures/JC_Presentations/0419/Intro_Toric_Code.pdf,Quantum Error Correction\nMitiq: A software package for error mitigation on noisy quantum computers,https://arxiv.org/abs/2009.04417,Quantum Error Mitigation\nNoisy dynamical systems evolve error correcting codes and modularity,https://arxiv.org/pdf/2303.14448.pdf,Quantum Error Mitigation\nQuantum readout error mitigation via deep learning,https://iopscience.iop.org/article/10.1088/1367-2630/ac7b3d,Quantum Error Mitigation\nCoherent shuttle of electron-spin states,https://arxiv.org/abs/1701.00815,Electron-spin States\nCommercial applications of quantum computing,https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-021-00091-1,Commercial and Philosophical Views\nInterference in Quantum Field Theory: Detecting Ghosts with Phases,https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202200530,Commercial and Philosophical Views\nLocality in the Schrodinger Picture of Quantum Mechanics,https://arxiv.org/pdf/2312.04701.pdf,Commercial and Philosophical Views\n\"Observable Thermalization: Theory, Numerical and Analytical Evidence\",https://arxiv.org/pdf/2309.15173.pdf,Commercial and Philosophical Views\n\"Quantum mechanics with real numbers: entanglement, superselection rules and gauges\",https://arxiv.org/pdf/2308.05473.pdf,Commercial and Philosophical Views\nQuantum Particles and Classical Particles,https://link.springer.com/article/10.1007/BF00735376,Commercial and Philosophical Views\nThe Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics,https://www.mdpi.com/2624-960X/5/2/31,Commercial and Philosophical Views\nWhy Philosophers Should Care About Computational Complexity,https://arxiv.org/abs/1108.1791,Commercial and Philosophical Views\nAll-photonic quantum repeaters,https://arxiv.org/abs/1309.7207,Quantum Repeater Architectures\nMultiplexed quantum repeaters based on dual-species trapped-ion systems,https://arxiv.org/abs/2105.06707,Quantum Repeater Architectures\nOptimal architectures for long distance quantum communication,https://www.nature.com/articles/srep20463,Quantum Repeater Architectures\nProposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics,https://arxiv.org/abs/2012.06687,Quantum Repeater Architectures\nField-Deployable Quantum Memory for Quantum Networking,https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.044058,Quantum Memories\nMemory cost of quantum protocols,https://www.researchgate.net/publication/51965796_Memory_cost_of_quantum_protocols,Quantum Memories\nUniversal and operational benchmarking of quantum memories,https://bartoszregula.me/pdf/s41534-021-00444-9.pdf,Quantum Memories\nDiscrete simulation of quantum walks,https://www.frontiersin.org/articles/10.3389/fphy.2020.00145/full,Experimental Simulating Tools\nImplementation of multidimensional quantum walks using linear optics and classical light,https://journals.aps.org/pra/abstract/10.1103/PhysRevA.92.040302,Experimental Simulating Tools\nImplementing the quantum random walk,https://arxiv.org/abs/quant-ph/0109076,Experimental Simulating Tools\n\"NetSquid, a NETwork Simulator for QUantum Information using Discrete events\",https://arxiv.org/abs/2010.12535,Experimental Simulating Tools\nPredicting Many Properties of a Quantum System from Very Few Measurements,https://arxiv.org/abs/2002.08953,Experimental Simulating Tools\nThe_Virtual_Quantum_Optics_Laboratory,https://arxiv.org/abs/2105.07300,Experimental Simulating Tools\nDisentangling Hype from Practicality: On Realistically Achieving Quantum Advantage,https://arxiv.org/pdf/2307.00523.pdf,Quantum Markets and Hype\nIs quantum computing green? An estimate for an energy-efficiency quantum advantage,https://arxiv.org/pdf/2205.12092.pdf,Quantum Markets and Hype\nMitigating the quantum hype,https://arxiv.org/abs/2202.01925,Quantum Markets and Hype\nAdvantages and Bottlenecks of Quantum Machine Learning for Remote Sensing,https://arxiv.org/abs/2101.10657,Quantum Machine Learning (QML)\nOn Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification,https://arxiv.org/abs/2109.09484,Quantum Machine Learning (QML)\nOption Pricing using Quantum Computers,https://arxiv.org/abs/1905.02666,Quantum Machine Learning (QML)\nQuantum advantage in learning from experiments,https://arxiv.org/abs/2112.00778,Quantum Machine Learning (QML)\nSupervised learning with quantum enhanced feature spaces,https://arxiv.org/pdf/1804.11326.pdf,Quantum Machine Learning (QML)\nSymmetry-invariant quantum machine learning force fields,https://arxiv.org/abs/2311.11362,Quantum Machine Learning (QML)\nConstructor Theory of Information,https://arxiv.org/abs/1405.5563,Constructor Theory\nConstructor Theory of Life,https://arxiv.org/abs/1407.0681,Constructor Theory\nConstructor Theory of Probability,https://arxiv.org/abs/1507.03287,Constructor Theory\nConstructor Theory of Thermodynamics,https://arxiv.org/abs/1608.02625,Constructor Theory\nEnergy & Information,https://www.jstor.org/stable/24923125,Physical Information\nFundamental Principle of Information-to-Energy Conversion,https://arxiv.org/abs/1401.6052,Physical Information\nThe information-theoretic foundation of thermodynamic work extraction,https://arxiv.org/abs/2009.04588,Physical Information\nThe role of quantum information in thermodynamics,https://arxiv.org/abs/1505.07835,Physical Information\nQuantum Long Short-Term Memory,https://arxiv.org/abs/2009.01783,Quantum Neural Networks (QNNs)\nQuantum Optical Neural Networks (Patent Application),https://patentimages.storage.googleapis.com/fa/61/94/ec20dc003a6517/US20200372334A1.pdf,Quantum Neural Networks (QNNs)\nQuantum Computing,https://arxiv.org/abs/quant-ph/9708022,Quantum Computing Fundamentals\nThe Physical Implementation of Quantum Computation,https://arxiv.org/abs/quant-ph/0002077,Quantum Computing Fundamentals\nQuantum computing at the frontiers of biological sciences,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254820/,Quantum Computing Fundamentals\nThe Future of Quantum Computing with Superconducting Qubits,https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/,Quantum Computing Fundamentals\n\"Classical, quantum and total correlations\",https://iopscience.iop.org/article/10.1088/0305-4470/34/35/315,Quantum Information Theory\nFive open problems in theory of quantum information,https://arxiv.org/abs/2002.03233,Quantum Information Theory\nQuantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model,https://journals.aps.org/pra/pdf/10.1103/PhysRevA.40.4277,Quantum Information Theory\n2D materials for quantum information science,https://www.nature.com/articles/s41578-019-0136-x,Quantum Hardware & Implementation\nA Review of Quantum Computer Energy Efficiency,https://ieeexplore.ieee.org/abstract/document/8767125,Quantum Hardware & Implementation\nQuantum Data Center: Theories and Applications,https://arxiv.org/abs/2207.14336,Quantum Hardware & Implementation\nQuantum information processing with bosonic qubits in circuit QED,https://iopscience.iop.org/article/10.1088/2058-9565/abe989/pdf,Quantum Hardware & Implementation\nRoom temperature quantum key distribution characteristics of low‑noise InGaAs/InP single‑photon avalanche diode,https://link.springer.com/article/10.1007/s40042-021-00111-4,Quantum Hardware & Implementation\nSolid-state single-photon emitters,http://ciqm.harvard.edu/uploads/2/3/3/4/23349210/aharanovich_2016.pdf,Quantum Hardware & Implementation\nQuantum Computational Supremacy,https://arxiv.org/pdf/1809.07442.pdf,Quantum Supremacy & Computational Advantage\nQuantum supremacy using a programmable superconducting processor,https://www.nature.com/articles/s41586-019-1666-5,Quantum Supremacy & Computational Advantage\nQuantum computational advantage using photons,https://www.science.org/doi/10.1126/science.abe8770,Quantum Supremacy & Computational Advantage\nQuantum computational advantage with a programmable photonic processor,https://www.nature.com/articles/s41586-022-04725-x,Quantum Supremacy & Computational Advantage\nEstablishing the quantum supremacy frontier with a 281 Pflop/s simulation,https://iopscience.iop.org/article/10.1088/2058-9565/ab7eeb/pdf?casa_token=fqUuMeRiHW8AAAAA:-qCFEf4B8q71vIHgiBtzWC_CMtpzILLTB5PaGoVOSn-EugRt6crwFnEY65HH3AwY_zVOkq2gmQ,Quantum Supremacy & Computational Advantage\nAdvances in Quantum Cryptography,https://arxiv.org/pdf/1906.01645.pdf,Quantum Communication & Cryptography\nQuantum communications and cryptography,https://people.bu.edu/alexserg/Impression_Book.pdf,Quantum Communication & Cryptography\nImplementing Post-quantum Cryptography for Developers,https://www.scitepress.org/Papers/2022/107862/107862.pdf,Quantum Communication & Cryptography\nPaving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment,https://arxiv.org/abs/2202.07764,Quantum Communication & Cryptography\nTransitioning organizations to post-quantum cryptography,https://www.nature.com/articles/s41586-022-04623-2,Quantum Communication & Cryptography\nDistribution of entanglement in large-scale quantum networks,https://iopscience.iop.org/article/10.1088/0034-4885/76/9/096001/pdf,Quantum Entanglement & Teleportation\nEntanglement in Many-Body Systems,https://arxiv.org/pdf/quant-ph/0703044.pdf,Quantum Entanglement & Teleportation\nGeneralized GHZ States and Distributed Quantum Computing,https://arxiv.org/abs/quant-ph/0402148,Quantum Entanglement & Teleportation\nSubstituting Quantum Entanglement for Communication,https://arxiv.org/pdf/quant-ph/9704026,Quantum Entanglement & Teleportation\nTeleportation of entanglement over 143 km,https://arxiv.org/abs/1403.0009,Quantum Entanglement & Teleportation\nA photonic cluster state machine gun,https://arxiv.org/abs/0810.2587,Quantum Photonics\nBlueprint for a Scalable Photonic Fault-Tolerant Quantum Computer,https://arxiv.org/abs/2010.02905,Quantum Photonics\nEfficient parametric frequency conversion in lithium niobate nanophotonic chips,https://arxiv.org/abs/1903.08722,Quantum Photonics\nExperimental demonstration of memory-enhanced quantum communication,https://arxiv.org/abs/1909.01323,Quantum Photonics\nFusion-based quantum computation,https://arxiv.org/abs/2101.09310,Quantum Photonics\nPhotonic resource state generation from a minimal number of quantum emitters,https://www.nature.com/articles/s41534-022-00522-6,Quantum Photonics\n\"Quantum computing with photons - introduction to the circuit model, the one way quantum computer, and the fundamental principles of photonic experiments\",https://iopscience.iop.org/article/10.1088/0953-4075/48/8/083001,Quantum Photonics\nFoundations for Near-Term Quantum Natural Language Processing,https://arxiv.org/abs/2012.03755,Natural Language Processing & Quantum Computing\nlambeq: An Efficient High-Level Python Library for Quantum NLP,https://arxiv.org/abs/2110.04236,Natural Language Processing & Quantum Computing\nActive learning of quantum system Hamiltonians yields query advantage,https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033060,Measurement & State Estimation\nExperimental Estimation of Quantum State Properties from Classical Shadows,https://arxiv.org/abs/2008.05234,Measurement & State Estimation\nExperimental violation of Bell inequalities for multi-dimensional systems,https://www.nature.com/articles/srep22088,Measurement & State Estimation\nPractical Benchmarking of Randomized Measurement Methods for Quantum Chemistry Hamiltonians,https://arxiv.org/pdf/2312.07497.pdf,Measurement & State Estimation\nQuantum-Enhanced Data Classification with a Variational Entangled Sensor Network,https://arxiv.org/abs/2006.11962,Quantum Enhanced Sensing & Detection\nMulti-state quantum simulations via model-space quantum imaginary time evolution,https://arxiv.org/abs/2206.04494,Quantum Computing Applications\nOptimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction,https://arxiv.org/abs/2303.05488,Quantum Computing Applications\nGreen Networking Metrics,https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Clemm-Dong-Mirsky-Ciavaglia-Tantsura-Odini_Green-Networking-Metrics.pdf,Energy & Sustainability in Quantum Computing\nReducing Green House Gas Emissions With Congestion Control,https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Welzel-Alay-Teymoori-Islam_Reducing-Green-House-Gas-Emissions-With-Congestion-Control-v2.pdf,Energy & Sustainability in Quantum Computing\nMicrowave Quantum Memristors,https://arxiv.org/abs/2311.06925,Novel Quantum Devices\n"
  },
  {
    "path": "data/outputs/sbert_model/1_Pooling/config.json",
    "content": "{\n  \"word_embedding_dimension\": 384,\n  \"pooling_mode_cls_token\": false,\n  \"pooling_mode_mean_tokens\": true,\n  \"pooling_mode_max_tokens\": false,\n  \"pooling_mode_mean_sqrt_len_tokens\": false,\n  \"pooling_mode_weightedmean_tokens\": false,\n  \"pooling_mode_lasttoken\": false,\n  \"include_prompt\": true\n}"
  },
  {
    "path": "data/outputs/sbert_model/README.md",
    "content": "---\nlanguage: en\nlicense: apache-2.0\nlibrary_name: sentence-transformers\ntags:\n- sentence-transformers\n- feature-extraction\n- sentence-similarity\n- transformers\ndatasets:\n- s2orc\n- flax-sentence-embeddings/stackexchange_xml\n- ms_marco\n- gooaq\n- yahoo_answers_topics\n- code_search_net\n- search_qa\n- eli5\n- snli\n- multi_nli\n- wikihow\n- natural_questions\n- trivia_qa\n- embedding-data/sentence-compression\n- embedding-data/flickr30k-captions\n- embedding-data/altlex\n- embedding-data/simple-wiki\n- embedding-data/QQP\n- embedding-data/SPECTER\n- embedding-data/PAQ_pairs\n- embedding-data/WikiAnswers\npipeline_tag: sentence-similarity\n---\n\n\n# all-MiniLM-L6-v2\nThis is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.\n\n## Usage (Sentence-Transformers)\nUsing this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:\n\n```\npip install -U sentence-transformers\n```\n\nThen you can use the model like this:\n```python\nfrom sentence_transformers import SentenceTransformer\nsentences = [\"This is an example sentence\", \"Each sentence is converted\"]\n\nmodel = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')\nembeddings = model.encode(sentences)\nprint(embeddings)\n```\n\n## Usage (HuggingFace Transformers)\nWithout [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.\n\n```python\nfrom transformers import AutoTokenizer, AutoModel\nimport torch\nimport torch.nn.functional as F\n\n#Mean Pooling - Take attention mask into account for correct averaging\ndef mean_pooling(model_output, attention_mask):\n    token_embeddings = model_output[0] #First element of model_output contains all token embeddings\n    input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()\n    return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)\n\n\n# Sentences we want sentence embeddings for\nsentences = ['This is an example sentence', 'Each sentence is converted']\n\n# Load model from HuggingFace Hub\ntokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')\nmodel = AutoModel.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')\n\n# Tokenize sentences\nencoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')\n\n# Compute token embeddings\nwith torch.no_grad():\n    model_output = model(**encoded_input)\n\n# Perform pooling\nsentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])\n\n# Normalize embeddings\nsentence_embeddings = F.normalize(sentence_embeddings, p=2, dim=1)\n\nprint(\"Sentence embeddings:\")\nprint(sentence_embeddings)\n```\n\n## Evaluation Results\n\nFor an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/all-MiniLM-L6-v2)\n\n------\n\n## Background\n\nThe project aims to train sentence embedding models on very large sentence level datasets using a self-supervised \ncontrastive learning objective. We used the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model and fine-tuned in on a \n1B sentence pairs dataset. We use a contrastive learning objective: given a sentence from the pair, the model should predict which out of a set of randomly sampled other sentences, was actually paired with it in our dataset.\n\nWe developed this model during the \n[Community week using JAX/Flax for NLP & CV](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), \norganized by Hugging Face. We developed this model as part of the project:\n[Train the Best Sentence Embedding Model Ever with 1B Training Pairs](https://discuss.huggingface.co/t/train-the-best-sentence-embedding-model-ever-with-1b-training-pairs/7354). We benefited from efficient hardware infrastructure to run the project: 7 TPUs v3-8, as well as intervention from Googles Flax, JAX, and Cloud team member about efficient deep learning frameworks.\n\n## Intended uses\n\nOur model is intended to be used as a sentence and short paragraph encoder. Given an input text, it outputs a vector which captures \nthe semantic information. The sentence vector may be used for information retrieval, clustering or sentence similarity tasks.\n\nBy default, input text longer than 256 word pieces is truncated.\n\n\n## Training procedure\n\n### Pre-training \n\nWe use the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model. Please refer to the model card for more detailed information about the pre-training procedure.\n\n### Fine-tuning \n\nWe fine-tune the model using a contrastive objective. Formally, we compute the cosine similarity from each possible sentence pairs from the batch.\nWe then apply the cross entropy loss by comparing with true pairs.\n\n#### Hyper parameters\n\nWe trained our model on a TPU v3-8. We train the model during 100k steps using a batch size of 1024 (128 per TPU core).\nWe use a learning rate warm up of 500. The sequence length was limited to 128 tokens. We used the AdamW optimizer with\na 2e-5 learning rate. The full training script is accessible in this current repository: `train_script.py`.\n\n#### Training data\n\nWe use the concatenation from multiple datasets to fine-tune our model. The total number of sentence pairs is above 1 billion sentences.\nWe sampled each dataset given a weighted probability which configuration is detailed in the `data_config.json` file.\n\n\n| Dataset                                                  | Paper                                    | Number of training tuples  |\n|--------------------------------------------------------|:----------------------------------------:|:--------------------------:|\n| [Reddit comments (2015-2018)](https://github.com/PolyAI-LDN/conversational-datasets/tree/master/reddit) | [paper](https://arxiv.org/abs/1904.06472) | 726,484,430 |\n| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Abstracts) | [paper](https://aclanthology.org/2020.acl-main.447/) | 116,288,806 |\n| [WikiAnswers](https://github.com/afader/oqa#wikianswers-corpus) Duplicate question pairs | [paper](https://doi.org/10.1145/2623330.2623677) | 77,427,422 |\n| [PAQ](https://github.com/facebookresearch/PAQ) (Question, Answer) pairs | [paper](https://arxiv.org/abs/2102.07033) | 64,371,441 |\n| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Titles) | [paper](https://aclanthology.org/2020.acl-main.447/) | 52,603,982 |\n| [S2ORC](https://github.com/allenai/s2orc) (Title, Abstract) | [paper](https://aclanthology.org/2020.acl-main.447/) | 41,769,185 |\n| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Body) pairs  | - | 25,316,456 |\n| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title+Body, Answer) pairs  | - | 21,396,559 |\n| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Answer) pairs  | - | 21,396,559 |\n| [MS MARCO](https://microsoft.github.io/msmarco/) triplets | [paper](https://doi.org/10.1145/3404835.3462804) | 9,144,553 |\n| [GOOAQ: Open Question Answering with Diverse Answer Types](https://github.com/allenai/gooaq) | [paper](https://arxiv.org/pdf/2104.08727.pdf) | 3,012,496 |\n| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 1,198,260 |\n| [Code Search](https://huggingface.co/datasets/code_search_net) | - | 1,151,414 |\n| [COCO](https://cocodataset.org/#home) Image captions | [paper](https://link.springer.com/chapter/10.1007%2F978-3-319-10602-1_48) | 828,395|\n| [SPECTER](https://github.com/allenai/specter) citation triplets | [paper](https://doi.org/10.18653/v1/2020.acl-main.207) | 684,100 |\n| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Question, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 681,164 |\n| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Question) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 659,896 |\n| [SearchQA](https://huggingface.co/datasets/search_qa) | [paper](https://arxiv.org/abs/1704.05179) | 582,261 |\n| [Eli5](https://huggingface.co/datasets/eli5) | [paper](https://doi.org/10.18653/v1/p19-1346) | 325,475 |\n| [Flickr 30k](https://shannon.cs.illinois.edu/DenotationGraph/) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/229/33) | 317,695 |\n| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles) | | 304,525 |\n| AllNLI ([SNLI](https://nlp.stanford.edu/projects/snli/) and [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) | [paper SNLI](https://doi.org/10.18653/v1/d15-1075), [paper MultiNLI](https://doi.org/10.18653/v1/n18-1101) | 277,230 | \n| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (bodies) | | 250,519 |\n| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles+bodies) | | 250,460 |\n| [Sentence Compression](https://github.com/google-research-datasets/sentence-compression) | [paper](https://www.aclweb.org/anthology/D13-1155/) | 180,000 |\n| [Wikihow](https://github.com/pvl/wikihow_pairs_dataset) | [paper](https://arxiv.org/abs/1810.09305) | 128,542 |\n| [Altlex](https://github.com/chridey/altlex/) | [paper](https://aclanthology.org/P16-1135.pdf) | 112,696 |\n| [Quora Question Triplets](https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs) | - | 103,663 |\n| [Simple Wikipedia](https://cs.pomona.edu/~dkauchak/simplification/) | [paper](https://www.aclweb.org/anthology/P11-2117/) | 102,225 |\n| [Natural Questions (NQ)](https://ai.google.com/research/NaturalQuestions) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/1455) | 100,231 |\n| [SQuAD2.0](https://rajpurkar.github.io/SQuAD-explorer/) | [paper](https://aclanthology.org/P18-2124.pdf) | 87,599 |\n| [TriviaQA](https://huggingface.co/datasets/trivia_qa) | - | 73,346 |\n| **Total** | | **1,170,060,424** |"
  },
  {
    "path": "data/outputs/sbert_model/config.json",
    "content": "{\n  \"_name_or_path\": \"sentence-transformers/all-MiniLM-L6-v2\",\n  \"architectures\": [\n    \"BertModel\"\n  ],\n  \"attention_probs_dropout_prob\": 0.1,\n  \"classifier_dropout\": null,\n  \"gradient_checkpointing\": false,\n  \"hidden_act\": \"gelu\",\n  \"hidden_dropout_prob\": 0.1,\n  \"hidden_size\": 384,\n  \"initializer_range\": 0.02,\n  \"intermediate_size\": 1536,\n  \"layer_norm_eps\": 1e-12,\n  \"max_position_embeddings\": 512,\n  \"model_type\": \"bert\",\n  \"num_attention_heads\": 12,\n  \"num_hidden_layers\": 6,\n  \"pad_token_id\": 0,\n  \"position_embedding_type\": \"absolute\",\n  \"torch_dtype\": \"float32\",\n  \"transformers_version\": \"4.46.3\",\n  \"type_vocab_size\": 2,\n  \"use_cache\": true,\n  \"vocab_size\": 30522\n}\n"
  },
  {
    "path": "data/outputs/sbert_model/config_sentence_transformers.json",
    "content": "{\n  \"__version__\": {\n    \"sentence_transformers\": \"3.4.1\",\n    \"transformers\": \"4.46.3\",\n    \"pytorch\": \"2.3.1\"\n  },\n  \"prompts\": {},\n  \"default_prompt_name\": null,\n  \"similarity_fn_name\": \"cosine\"\n}"
  },
  {
    "path": "data/outputs/sbert_model/modules.json",
    "content": "[\n  {\n    \"idx\": 0,\n    \"name\": \"0\",\n    \"path\": \"\",\n    \"type\": \"sentence_transformers.models.Transformer\"\n  },\n  {\n    \"idx\": 1,\n    \"name\": \"1\",\n    \"path\": \"1_Pooling\",\n    \"type\": \"sentence_transformers.models.Pooling\"\n  },\n  {\n    \"idx\": 2,\n    \"name\": \"2\",\n    \"path\": \"2_Normalize\",\n    \"type\": \"sentence_transformers.models.Normalize\"\n  }\n]"
  },
  {
    "path": "data/outputs/sbert_model/sentence_bert_config.json",
    "content": "{\n  \"max_seq_length\": 256,\n  \"do_lower_case\": false\n}"
  },
  {
    "path": "data/outputs/sbert_model/special_tokens_map.json",
    "content": "{\n  \"cls_token\": {\n    \"content\": \"[CLS]\",\n    \"lstrip\": false,\n    \"normalized\": false,\n    \"rstrip\": false,\n    \"single_word\": false\n  },\n  \"mask_token\": {\n    \"content\": \"[MASK]\",\n    \"lstrip\": false,\n    \"normalized\": false,\n    \"rstrip\": false,\n    \"single_word\": false\n  },\n  \"pad_token\": {\n    \"content\": \"[PAD]\",\n    \"lstrip\": false,\n    \"normalized\": false,\n    \"rstrip\": false,\n    \"single_word\": false\n  },\n  \"sep_token\": {\n    \"content\": \"[SEP]\",\n    \"lstrip\": false,\n    \"normalized\": false,\n    \"rstrip\": false,\n    \"single_word\": false\n  },\n  \"unk_token\": {\n    \"content\": \"[UNK]\",\n    \"lstrip\": false,\n    \"normalized\": false,\n    \"rstrip\": false,\n    \"single_word\": false\n  }\n}\n"
  },
  {
    "path": "data/outputs/sbert_model/tokenizer.json",
    "content": "{\n  \"version\": \"1.0\",\n  \"truncation\": {\n    \"direction\": \"Right\",\n    \"max_length\": 256,\n    \"strategy\": \"LongestFirst\",\n    \"stride\": 0\n  },\n  \"padding\": {\n    \"strategy\": \"BatchLongest\",\n    \"direction\": \"Right\",\n    \"pad_to_multiple_of\": null,\n    \"pad_id\": 0,\n    \"pad_type_id\": 0,\n    \"pad_token\": \"[PAD]\"\n  },\n  \"added_tokens\": [\n    {\n      \"id\": 0,\n      \"content\": \"[PAD]\",\n      \"single_word\": false,\n      \"lstrip\": false,\n      \"rstrip\": false,\n      \"normalized\": false,\n      \"special\": true\n    },\n    {\n      \"id\": 100,\n      \"content\": \"[UNK]\",\n      \"single_word\": false,\n      \"lstrip\": false,\n      \"rstrip\": false,\n      \"normalized\": false,\n      \"special\": true\n    },\n    {\n      \"id\": 101,\n      \"content\": \"[CLS]\",\n      \"single_word\": false,\n      \"lstrip\": false,\n      \"rstrip\": false,\n      \"normalized\": false,\n      \"special\": true\n    },\n    {\n      \"id\": 102,\n      \"content\": \"[SEP]\",\n      \"single_word\": false,\n      \"lstrip\": false,\n      \"rstrip\": false,\n      \"normalized\": false,\n      \"special\": true\n    },\n    {\n      \"id\": 103,\n      \"content\": \"[MASK]\",\n      \"single_word\": false,\n      \"lstrip\": false,\n      \"rstrip\": false,\n      \"normalized\": false,\n      \"special\": true\n    }\n  ],\n  \"normalizer\": {\n    \"type\": \"BertNormalizer\",\n    \"clean_text\": true,\n    \"handle_chinese_chars\": true,\n    \"strip_accents\": null,\n    \"lowercase\": true\n  },\n  \"pre_tokenizer\": {\n    \"type\": \"BertPreTokenizer\"\n  },\n  \"post_processor\": {\n    \"type\": \"TemplateProcessing\",\n    \"single\": [\n      {\n        \"SpecialToken\": {\n          \"id\": \"[CLS]\",\n          \"type_id\": 0\n        }\n      },\n      {\n        \"Sequence\": {\n          \"id\": \"A\",\n          \"type_id\": 0\n        }\n      },\n      {\n        \"SpecialToken\": {\n          \"id\": \"[SEP]\",\n          \"type_id\": 0\n        }\n      }\n    ],\n    \"pair\": [\n      {\n        \"SpecialToken\": {\n          \"id\": \"[CLS]\",\n          \"type_id\": 0\n        }\n      },\n      {\n        \"Sequence\": {\n          \"id\": \"A\",\n          \"type_id\": 0\n        }\n      },\n      {\n        \"SpecialToken\": {\n          \"id\": \"[SEP]\",\n          \"type_id\": 0\n        }\n      },\n      {\n        \"Sequence\": {\n          \"id\": \"B\",\n          \"type_id\": 1\n        }\n      },\n      {\n        \"SpecialToken\": {\n          \"id\": \"[SEP]\",\n          \"type_id\": 1\n        }\n      }\n    ],\n    \"special_tokens\": {\n      \"[CLS]\": {\n        \"id\": \"[CLS]\",\n        \"ids\": [\n          101\n        ],\n        \"tokens\": [\n          \"[CLS]\"\n        ]\n      },\n      \"[SEP]\": {\n        \"id\": \"[SEP]\",\n        \"ids\": [\n          102\n        ],\n        \"tokens\": [\n          \"[SEP]\"\n        ]\n      }\n    }\n  },\n  \"decoder\": {\n    \"type\": \"WordPiece\",\n    \"prefix\": \"##\",\n    \"cleanup\": true\n  },\n  \"model\": {\n    \"type\": \"WordPiece\",\n    \"unk_token\": \"[UNK]\",\n    \"continuing_subword_prefix\": \"##\",\n    \"max_input_chars_per_word\": 100,\n    \"vocab\": {\n      \"[PAD]\": 0,\n      \"[unused0]\": 1,\n      \"[unused1]\": 2,\n      \"[unused2]\": 3,\n      \"[unused3]\": 4,\n      \"[unused4]\": 5,\n      \"[unused5]\": 6,\n      \"[unused6]\": 7,\n      \"[unused7]\": 8,\n      \"[unused8]\": 9,\n      \"[unused9]\": 10,\n      \"[unused10]\": 11,\n      \"[unused11]\": 12,\n      \"[unused12]\": 13,\n      \"[unused13]\": 14,\n      \"[unused14]\": 15,\n      \"[unused15]\": 16,\n      \"[unused16]\": 17,\n      \"[unused17]\": 18,\n      \"[unused18]\": 19,\n      \"[unused19]\": 20,\n      \"[unused20]\": 21,\n      \"[unused21]\": 22,\n      \"[unused22]\": 23,\n      \"[unused23]\": 24,\n      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\"[unused979]\": 984,\n      \"[unused980]\": 985,\n      \"[unused981]\": 986,\n      \"[unused982]\": 987,\n      \"[unused983]\": 988,\n      \"[unused984]\": 989,\n      \"[unused985]\": 990,\n      \"[unused986]\": 991,\n      \"[unused987]\": 992,\n      \"[unused988]\": 993,\n      \"[unused989]\": 994,\n      \"[unused990]\": 995,\n      \"[unused991]\": 996,\n      \"[unused992]\": 997,\n      \"[unused993]\": 998,\n      \"!\": 999,\n      \"\\\"\": 1000,\n      \"#\": 1001,\n      \"$\": 1002,\n      \"%\": 1003,\n      \"&\": 1004,\n      \"'\": 1005,\n      \"(\": 1006,\n      \")\": 1007,\n      \"*\": 1008,\n      \"+\": 1009,\n      \",\": 1010,\n      \"-\": 1011,\n      \".\": 1012,\n      \"/\": 1013,\n      \"0\": 1014,\n      \"1\": 1015,\n      \"2\": 1016,\n      \"3\": 1017,\n      \"4\": 1018,\n      \"5\": 1019,\n      \"6\": 1020,\n      \"7\": 1021,\n      \"8\": 1022,\n      \"9\": 1023,\n      \":\": 1024,\n      \";\": 1025,\n      \"<\": 1026,\n      \"=\": 1027,\n      \">\": 1028,\n      \"?\": 1029,\n      \"@\": 1030,\n      \"[\": 1031,\n      \"\\\\\": 1032,\n      \"]\": 1033,\n      \"^\": 1034,\n      \"_\": 1035,\n      \"`\": 1036,\n      \"a\": 1037,\n      \"b\": 1038,\n      \"c\": 1039,\n      \"d\": 1040,\n      \"e\": 1041,\n      \"f\": 1042,\n      \"g\": 1043,\n      \"h\": 1044,\n      \"i\": 1045,\n      \"j\": 1046,\n      \"k\": 1047,\n      \"l\": 1048,\n      \"m\": 1049,\n      \"n\": 1050,\n      \"o\": 1051,\n      \"p\": 1052,\n      \"q\": 1053,\n      \"r\": 1054,\n      \"s\": 1055,\n      \"t\": 1056,\n      \"u\": 1057,\n      \"v\": 1058,\n      \"w\": 1059,\n      \"x\": 1060,\n      \"y\": 1061,\n      \"z\": 1062,\n      \"{\": 1063,\n      \"|\": 1064,\n      \"}\": 1065,\n      \"~\": 1066,\n      \"¡\": 1067,\n      \"¢\": 1068,\n      \"£\": 1069,\n      \"¤\": 1070,\n      \"¥\": 1071,\n      \"¦\": 1072,\n      \"§\": 1073,\n      \"¨\": 1074,\n      \"©\": 1075,\n      \"ª\": 1076,\n    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\"χ\": 1177,\n      \"ψ\": 1178,\n      \"ω\": 1179,\n      \"а\": 1180,\n      \"б\": 1181,\n      \"в\": 1182,\n      \"г\": 1183,\n      \"д\": 1184,\n      \"е\": 1185,\n      \"ж\": 1186,\n      \"з\": 1187,\n      \"и\": 1188,\n      \"к\": 1189,\n      \"л\": 1190,\n      \"м\": 1191,\n      \"н\": 1192,\n      \"о\": 1193,\n      \"п\": 1194,\n      \"р\": 1195,\n      \"с\": 1196,\n      \"т\": 1197,\n      \"у\": 1198,\n      \"ф\": 1199,\n      \"х\": 1200,\n      \"ц\": 1201,\n      \"ч\": 1202,\n      \"ш\": 1203,\n      \"щ\": 1204,\n      \"ъ\": 1205,\n      \"ы\": 1206,\n      \"ь\": 1207,\n      \"э\": 1208,\n      \"ю\": 1209,\n      \"я\": 1210,\n      \"ђ\": 1211,\n      \"є\": 1212,\n      \"і\": 1213,\n      \"ј\": 1214,\n      \"љ\": 1215,\n      \"њ\": 1216,\n      \"ћ\": 1217,\n      \"ӏ\": 1218,\n      \"ա\": 1219,\n      \"բ\": 1220,\n      \"գ\": 1221,\n      \"դ\": 1222,\n      \"ե\": 1223,\n      \"թ\": 1224,\n      \"ի\": 1225,\n      \"լ\": 1226,\n      \"կ\": 1227,\n      \"հ\": 1228,\n      \"մ\": 1229,\n      \"յ\": 1230,\n      \"ն\": 1231,\n      \"ո\": 1232,\n      \"պ\": 1233,\n      \"ս\": 1234,\n      \"վ\": 1235,\n      \"տ\": 1236,\n      \"ր\": 1237,\n      \"ւ\": 1238,\n      \"ք\": 1239,\n      \"־\": 1240,\n      \"א\": 1241,\n      \"ב\": 1242,\n      \"ג\": 1243,\n      \"ד\": 1244,\n      \"ה\": 1245,\n      \"ו\": 1246,\n      \"ז\": 1247,\n      \"ח\": 1248,\n      \"ט\": 1249,\n      \"י\": 1250,\n      \"ך\": 1251,\n      \"כ\": 1252,\n      \"ל\": 1253,\n      \"ם\": 1254,\n      \"מ\": 1255,\n      \"ן\": 1256,\n      \"נ\": 1257,\n      \"ס\": 1258,\n      \"ע\": 1259,\n      \"ף\": 1260,\n      \"פ\": 1261,\n      \"ץ\": 1262,\n      \"צ\": 1263,\n      \"ק\": 1264,\n      \"ר\": 1265,\n      \"ש\": 1266,\n      \"ת\": 1267,\n      \"،\": 1268,\n      \"ء\": 1269,\n      \"ا\": 1270,\n      \"ب\": 1271,\n      \"ة\": 1272,\n      \"ت\": 1273,\n      \"ث\": 1274,\n      \"ج\": 1275,\n      \"ح\": 1276,\n      \"خ\": 1277,\n      \"د\": 1278,\n      \"ذ\": 1279,\n      \"ر\": 1280,\n      \"ز\": 1281,\n      \"س\": 1282,\n      \"ش\": 1283,\n      \"ص\": 1284,\n      \"ض\": 1285,\n      \"ط\": 1286,\n      \"ظ\": 1287,\n      \"ع\": 1288,\n      \"غ\": 1289,\n      \"ـ\": 1290,\n      \"ف\": 1291,\n      \"ق\": 1292,\n      \"ك\": 1293,\n      \"ل\": 1294,\n      \"م\": 1295,\n      \"ن\": 1296,\n      \"ه\": 1297,\n      \"و\": 1298,\n      \"ى\": 1299,\n      \"ي\": 1300,\n      \"ٹ\": 1301,\n      \"پ\": 1302,\n      \"چ\": 1303,\n      \"ک\": 1304,\n      \"گ\": 1305,\n      \"ں\": 1306,\n      \"ھ\": 1307,\n      \"ہ\": 1308,\n      \"ی\": 1309,\n      \"ے\": 1310,\n      \"अ\": 1311,\n      \"आ\": 1312,\n      \"उ\": 1313,\n      \"ए\": 1314,\n      \"क\": 1315,\n      \"ख\": 1316,\n      \"ग\": 1317,\n      \"च\": 1318,\n      \"ज\": 1319,\n      \"ट\": 1320,\n      \"ड\": 1321,\n      \"ण\": 1322,\n      \"त\": 1323,\n      \"थ\": 1324,\n      \"द\": 1325,\n      \"ध\": 1326,\n      \"न\": 1327,\n      \"प\": 1328,\n      \"ब\": 1329,\n      \"भ\": 1330,\n      \"म\": 1331,\n      \"य\": 1332,\n      \"र\": 1333,\n      \"ल\": 1334,\n      \"व\": 1335,\n      \"श\": 1336,\n      \"ष\": 1337,\n      \"स\": 1338,\n      \"ह\": 1339,\n      \"ा\": 1340,\n      \"ि\": 1341,\n      \"ी\": 1342,\n      \"ो\": 1343,\n      \"।\": 1344,\n      \"॥\": 1345,\n      \"ং\": 1346,\n      \"অ\": 1347,\n      \"আ\": 1348,\n      \"ই\": 1349,\n      \"উ\": 1350,\n      \"এ\": 1351,\n      \"ও\": 1352,\n      \"ক\": 1353,\n      \"খ\": 1354,\n      \"গ\": 1355,\n      \"চ\": 1356,\n      \"ছ\": 1357,\n      \"জ\": 1358,\n      \"ট\": 1359,\n      \"ড\": 1360,\n      \"ণ\": 1361,\n      \"ত\": 1362,\n      \"থ\": 1363,\n      \"দ\": 1364,\n      \"ধ\": 1365,\n      \"ন\": 1366,\n      \"প\": 1367,\n      \"ব\": 1368,\n      \"ভ\": 1369,\n      \"ম\": 1370,\n      \"য\": 1371,\n      \"র\": 1372,\n      \"ল\": 1373,\n      \"শ\": 1374,\n      \"ষ\": 1375,\n      \"স\": 1376,\n      \"হ\": 1377,\n      \"া\": 1378,\n      \"ি\": 1379,\n      \"ী\": 1380,\n      \"ে\": 1381,\n      \"க\": 1382,\n      \"ச\": 1383,\n      \"ட\": 1384,\n      \"த\": 1385,\n      \"ந\": 1386,\n      \"ன\": 1387,\n      \"ப\": 1388,\n      \"ம\": 1389,\n      \"ய\": 1390,\n      \"ர\": 1391,\n      \"ல\": 1392,\n      \"ள\": 1393,\n      \"வ\": 1394,\n      \"ா\": 1395,\n      \"ி\": 1396,\n      \"ு\": 1397,\n      \"ே\": 1398,\n      \"ை\": 1399,\n      \"ನ\": 1400,\n      \"ರ\": 1401,\n      \"ಾ\": 1402,\n      \"ක\": 1403,\n      \"ය\": 1404,\n      \"ර\": 1405,\n      \"ල\": 1406,\n      \"ව\": 1407,\n      \"ා\": 1408,\n      \"ก\": 1409,\n      \"ง\": 1410,\n      \"ต\": 1411,\n      \"ท\": 1412,\n      \"น\": 1413,\n      \"พ\": 1414,\n      \"ม\": 1415,\n      \"ย\": 1416,\n      \"ร\": 1417,\n      \"ล\": 1418,\n      \"ว\": 1419,\n      \"ส\": 1420,\n      \"อ\": 1421,\n      \"า\": 1422,\n      \"เ\": 1423,\n      \"་\": 1424,\n      \"།\": 1425,\n      \"ག\": 1426,\n      \"ང\": 1427,\n      \"ད\": 1428,\n      \"ན\": 1429,\n      \"པ\": 1430,\n      \"བ\": 1431,\n      \"མ\": 1432,\n      \"འ\": 1433,\n      \"ར\": 1434,\n      \"ལ\": 1435,\n      \"ས\": 1436,\n      \"မ\": 1437,\n      \"ა\": 1438,\n      \"ბ\": 1439,\n      \"გ\": 1440,\n      \"დ\": 1441,\n      \"ე\": 1442,\n      \"ვ\": 1443,\n      \"თ\": 1444,\n      \"ი\": 1445,\n      \"კ\": 1446,\n      \"ლ\": 1447,\n      \"მ\": 1448,\n      \"ნ\": 1449,\n      \"ო\": 1450,\n      \"რ\": 1451,\n      \"ს\": 1452,\n      \"ტ\": 1453,\n      \"უ\": 1454,\n      \"ᄀ\": 1455,\n      \"ᄂ\": 1456,\n      \"ᄃ\": 1457,\n      \"ᄅ\": 1458,\n      \"ᄆ\": 1459,\n      \"ᄇ\": 1460,\n      \"ᄉ\": 1461,\n      \"ᄊ\": 1462,\n      \"ᄋ\": 1463,\n      \"ᄌ\": 1464,\n      \"ᄎ\": 1465,\n      \"ᄏ\": 1466,\n      \"ᄐ\": 1467,\n      \"ᄑ\": 1468,\n      \"ᄒ\": 1469,\n      \"ᅡ\": 1470,\n      \"ᅢ\": 1471,\n      \"ᅥ\": 1472,\n      \"ᅦ\": 1473,\n      \"ᅧ\": 1474,\n      \"ᅩ\": 1475,\n      \"ᅪ\": 1476,\n      \"ᅭ\": 1477,\n      \"ᅮ\": 1478,\n      \"ᅯ\": 1479,\n      \"ᅲ\": 1480,\n      \"ᅳ\": 1481,\n      \"ᅴ\": 1482,\n      \"ᅵ\": 1483,\n      \"ᆨ\": 1484,\n      \"ᆫ\": 1485,\n      \"ᆯ\": 1486,\n      \"ᆷ\": 1487,\n      \"ᆸ\": 1488,\n      \"ᆼ\": 1489,\n      \"ᴬ\": 1490,\n      \"ᴮ\": 1491,\n      \"ᴰ\": 1492,\n      \"ᴵ\": 1493,\n      \"ᴺ\": 1494,\n      \"ᵀ\": 1495,\n      \"ᵃ\": 1496,\n      \"ᵇ\": 1497,\n      \"ᵈ\": 1498,\n      \"ᵉ\": 1499,\n      \"ᵍ\": 1500,\n      \"ᵏ\": 1501,\n      \"ᵐ\": 1502,\n      \"ᵒ\": 1503,\n      \"ᵖ\": 1504,\n      \"ᵗ\": 1505,\n      \"ᵘ\": 1506,\n      \"ᵢ\": 1507,\n      \"ᵣ\": 1508,\n      \"ᵤ\": 1509,\n      \"ᵥ\": 1510,\n      \"ᶜ\": 1511,\n      \"ᶠ\": 1512,\n      \"‐\": 1513,\n      \"‑\": 1514,\n      \"‒\": 1515,\n      \"–\": 1516,\n      \"—\": 1517,\n      \"―\": 1518,\n      \"‖\": 1519,\n      \"‘\": 1520,\n      \"’\": 1521,\n      \"‚\": 1522,\n      \"“\": 1523,\n      \"”\": 1524,\n      \"„\": 1525,\n      \"†\": 1526,\n      \"‡\": 1527,\n      \"•\": 1528,\n      \"…\": 1529,\n      \"‰\": 1530,\n      \"′\": 1531,\n      \"″\": 1532,\n      \"›\": 1533,\n      \"‿\": 1534,\n      \"⁄\": 1535,\n      \"⁰\": 1536,\n      \"ⁱ\": 1537,\n      \"⁴\": 1538,\n      \"⁵\": 1539,\n      \"⁶\": 1540,\n      \"⁷\": 1541,\n      \"⁸\": 1542,\n      \"⁹\": 1543,\n      \"⁺\": 1544,\n      \"⁻\": 1545,\n      \"ⁿ\": 1546,\n      \"₀\": 1547,\n      \"₁\": 1548,\n      \"₂\": 1549,\n      \"₃\": 1550,\n      \"₄\": 1551,\n      \"₅\": 1552,\n      \"₆\": 1553,\n      \"₇\": 1554,\n      \"₈\": 1555,\n      \"₉\": 1556,\n      \"₊\": 1557,\n      \"₍\": 1558,\n      \"₎\": 1559,\n      \"ₐ\": 1560,\n      \"ₑ\": 1561,\n      \"ₒ\": 1562,\n      \"ₓ\": 1563,\n      \"ₕ\": 1564,\n      \"ₖ\": 1565,\n      \"ₗ\": 1566,\n      \"ₘ\": 1567,\n      \"ₙ\": 1568,\n      \"ₚ\": 1569,\n      \"ₛ\": 1570,\n      \"ₜ\": 1571,\n      \"₤\": 1572,\n      \"₩\": 1573,\n      \"€\": 1574,\n      \"₱\": 1575,\n      \"₹\": 1576,\n      \"ℓ\": 1577,\n      \"№\": 1578,\n      \"ℝ\": 1579,\n      \"™\": 1580,\n      \"⅓\": 1581,\n      \"⅔\": 1582,\n      \"←\": 1583,\n      \"↑\": 1584,\n      \"→\": 1585,\n      \"↓\": 1586,\n      \"↔\": 1587,\n      \"↦\": 1588,\n      \"⇄\": 1589,\n      \"⇌\": 1590,\n      \"⇒\": 1591,\n      \"∂\": 1592,\n      \"∅\": 1593,\n      \"∆\": 1594,\n      \"∇\": 1595,\n      \"∈\": 1596,\n      \"−\": 1597,\n      \"∗\": 1598,\n      \"∘\": 1599,\n      \"√\": 1600,\n      \"∞\": 1601,\n      \"∧\": 1602,\n      \"∨\": 1603,\n      \"∩\": 1604,\n      \"∪\": 1605,\n      \"≈\": 1606,\n      \"≡\": 1607,\n      \"≤\": 1608,\n      \"≥\": 1609,\n      \"⊂\": 1610,\n      \"⊆\": 1611,\n      \"⊕\": 1612,\n      \"⊗\": 1613,\n      \"⋅\": 1614,\n      \"─\": 1615,\n      \"│\": 1616,\n      \"■\": 1617,\n      \"▪\": 1618,\n      \"●\": 1619,\n      \"★\": 1620,\n      \"☆\": 1621,\n      \"☉\": 1622,\n      \"♠\": 1623,\n      \"♣\": 1624,\n      \"♥\": 1625,\n      \"♦\": 1626,\n      \"♭\": 1627,\n      \"♯\": 1628,\n      \"⟨\": 1629,\n      \"⟩\": 1630,\n      \"ⱼ\": 1631,\n      \"⺩\": 1632,\n      \"⺼\": 1633,\n      \"⽥\": 1634,\n      \"、\": 1635,\n      \"。\": 1636,\n      \"〈\": 1637,\n      \"〉\": 1638,\n      \"《\": 1639,\n      \"》\": 1640,\n      \"「\": 1641,\n      \"」\": 1642,\n      \"『\": 1643,\n      \"』\": 1644,\n      \"〜\": 1645,\n      \"あ\": 1646,\n      \"い\": 1647,\n      \"う\": 1648,\n      \"え\": 1649,\n      \"お\": 1650,\n      \"か\": 1651,\n      \"き\": 1652,\n      \"く\": 1653,\n      \"け\": 1654,\n      \"こ\": 1655,\n      \"さ\": 1656,\n      \"し\": 1657,\n      \"す\": 1658,\n      \"せ\": 1659,\n      \"そ\": 1660,\n      \"た\": 1661,\n      \"ち\": 1662,\n      \"っ\": 1663,\n      \"つ\": 1664,\n      \"て\": 1665,\n      \"と\": 1666,\n      \"な\": 1667,\n      \"に\": 1668,\n      \"ぬ\": 1669,\n      \"ね\": 1670,\n      \"の\": 1671,\n      \"は\": 1672,\n      \"ひ\": 1673,\n      \"ふ\": 1674,\n      \"へ\": 1675,\n      \"ほ\": 1676,\n      \"ま\": 1677,\n      \"み\": 1678,\n      \"む\": 1679,\n      \"め\": 1680,\n      \"も\": 1681,\n      \"や\": 1682,\n      \"ゆ\": 1683,\n      \"よ\": 1684,\n      \"ら\": 1685,\n      \"り\": 1686,\n      \"る\": 1687,\n      \"れ\": 1688,\n      \"ろ\": 1689,\n      \"を\": 1690,\n      \"ん\": 1691,\n      \"ァ\": 1692,\n      \"ア\": 1693,\n      \"ィ\": 1694,\n      \"イ\": 1695,\n      \"ウ\": 1696,\n      \"ェ\": 1697,\n      \"エ\": 1698,\n      \"オ\": 1699,\n      \"カ\": 1700,\n      \"キ\": 1701,\n      \"ク\": 1702,\n      \"ケ\": 1703,\n      \"コ\": 1704,\n      \"サ\": 1705,\n      \"シ\": 1706,\n      \"ス\": 1707,\n      \"セ\": 1708,\n      \"タ\": 1709,\n      \"チ\": 1710,\n      \"ッ\": 1711,\n      \"ツ\": 1712,\n      \"テ\": 1713,\n      \"ト\": 1714,\n      \"ナ\": 1715,\n      \"ニ\": 1716,\n      \"ノ\": 1717,\n      \"ハ\": 1718,\n      \"ヒ\": 1719,\n      \"フ\": 1720,\n      \"ヘ\": 1721,\n      \"ホ\": 1722,\n      \"マ\": 1723,\n      \"ミ\": 1724,\n      \"ム\": 1725,\n      \"メ\": 1726,\n      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\"grayson\": 17556,\n      \"riga\": 17557,\n      \"sloane\": 17558,\n      \"raging\": 17559,\n      \"##yah\": 17560,\n      \"herbs\": 17561,\n      \"bravo\": 17562,\n      \"##athlon\": 17563,\n      \"alloy\": 17564,\n      \"giggle\": 17565,\n      \"imminent\": 17566,\n      \"suffers\": 17567,\n      \"assumptions\": 17568,\n      \"waltz\": 17569,\n      \"##itate\": 17570,\n      \"accomplishments\": 17571,\n      \"##ited\": 17572,\n      \"bathing\": 17573,\n      \"remixed\": 17574,\n      \"deception\": 17575,\n      \"prefix\": 17576,\n      \"##emia\": 17577,\n      \"deepest\": 17578,\n      \"##tier\": 17579,\n      \"##eis\": 17580,\n      \"balkan\": 17581,\n      \"frogs\": 17582,\n      \"##rong\": 17583,\n      \"slab\": 17584,\n      \"##pate\": 17585,\n      \"philosophers\": 17586,\n      \"peterborough\": 17587,\n      \"grains\": 17588,\n      \"imports\": 17589,\n      \"dickinson\": 17590,\n      \"rwanda\": 17591,\n      \"##atics\": 17592,\n      \"1774\": 17593,\n      \"dirk\": 17594,\n      \"lan\": 17595,\n      \"tablets\": 17596,\n      \"##rove\": 17597,\n      \"clone\": 17598,\n      \"##rice\": 17599,\n      \"caretaker\": 17600,\n      \"hostilities\": 17601,\n      \"mclean\": 17602,\n      \"##gre\": 17603,\n      \"regimental\": 17604,\n      \"treasures\": 17605,\n      \"norms\": 17606,\n      \"impose\": 17607,\n      \"tsar\": 17608,\n      \"tango\": 17609,\n      \"diplomacy\": 17610,\n      \"variously\": 17611,\n      \"complain\": 17612,\n      \"192\": 17613,\n      \"recognise\": 17614,\n      \"arrests\": 17615,\n      \"1779\": 17616,\n      \"celestial\": 17617,\n      \"pulitzer\": 17618,\n      \"##dus\": 17619,\n      \"bing\": 17620,\n      \"libretto\": 17621,\n      \"##moor\": 17622,\n      \"adele\": 17623,\n      \"splash\": 17624,\n      \"##rite\": 17625,\n      \"expectation\": 17626,\n      \"lds\": 17627,\n      \"confronts\": 17628,\n      \"##izer\": 17629,\n      \"spontaneous\": 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17667,\n      \"##sper\": 17668,\n      \"radioactive\": 17669,\n      \"##ndra\": 17670,\n      \"militants\": 17671,\n      \"poisoned\": 17672,\n      \"ratified\": 17673,\n      \"remark\": 17674,\n      \"campeonato\": 17675,\n      \"deprived\": 17676,\n      \"wander\": 17677,\n      \"prop\": 17678,\n      \"##dong\": 17679,\n      \"outlook\": 17680,\n      \"##tani\": 17681,\n      \"##rix\": 17682,\n      \"##eye\": 17683,\n      \"chiang\": 17684,\n      \"darcy\": 17685,\n      \"##oping\": 17686,\n      \"mandolin\": 17687,\n      \"spice\": 17688,\n      \"statesman\": 17689,\n      \"babylon\": 17690,\n      \"182\": 17691,\n      \"walled\": 17692,\n      \"forgetting\": 17693,\n      \"afro\": 17694,\n      \"##cap\": 17695,\n      \"158\": 17696,\n      \"giorgio\": 17697,\n      \"buffer\": 17698,\n      \"##polis\": 17699,\n      \"planetary\": 17700,\n      \"##gis\": 17701,\n      \"overlap\": 17702,\n      \"terminals\": 17703,\n      \"kinda\": 17704,\n      \"centenary\": 17705,\n      \"##bir\": 17706,\n      \"arising\": 17707,\n      \"manipulate\": 17708,\n      \"elm\": 17709,\n      \"ke\": 17710,\n      \"1770\": 17711,\n      \"ak\": 17712,\n      \"##tad\": 17713,\n      \"chrysler\": 17714,\n      \"mapped\": 17715,\n      \"moose\": 17716,\n      \"pomeranian\": 17717,\n      \"quad\": 17718,\n      \"macarthur\": 17719,\n      \"assemblies\": 17720,\n      \"shoreline\": 17721,\n      \"recalls\": 17722,\n      \"stratford\": 17723,\n      \"##rted\": 17724,\n      \"noticeable\": 17725,\n      \"##evic\": 17726,\n      \"imp\": 17727,\n      \"##rita\": 17728,\n      \"##sque\": 17729,\n      \"accustomed\": 17730,\n      \"supplying\": 17731,\n      \"tents\": 17732,\n      \"disgusted\": 17733,\n      \"vogue\": 17734,\n      \"sipped\": 17735,\n      \"filters\": 17736,\n      \"khz\": 17737,\n      \"reno\": 17738,\n      \"selecting\": 17739,\n      \"luftwaffe\": 17740,\n      \"mcmahon\": 17741,\n      \"tyne\": 17742,\n      \"masterpiece\": 17743,\n      \"carriages\": 17744,\n      \"collided\": 17745,\n      \"dunes\": 17746,\n      \"exercised\": 17747,\n      \"flare\": 17748,\n      \"remembers\": 17749,\n      \"muzzle\": 17750,\n      \"##mobile\": 17751,\n      \"heck\": 17752,\n      \"##rson\": 17753,\n      \"burgess\": 17754,\n      \"lunged\": 17755,\n      \"middleton\": 17756,\n      \"boycott\": 17757,\n      \"bilateral\": 17758,\n      \"##sity\": 17759,\n      \"hazardous\": 17760,\n      \"lumpur\": 17761,\n      \"multiplayer\": 17762,\n      \"spotlight\": 17763,\n      \"jackets\": 17764,\n      \"goldman\": 17765,\n      \"liege\": 17766,\n      \"porcelain\": 17767,\n      \"rag\": 17768,\n      \"waterford\": 17769,\n      \"benz\": 17770,\n      \"attracts\": 17771,\n      \"hopeful\": 17772,\n      \"battling\": 17773,\n      \"ottomans\": 17774,\n      \"kensington\": 17775,\n      \"baked\": 17776,\n      \"hymns\": 17777,\n      \"cheyenne\": 17778,\n      \"lattice\": 17779,\n      \"levine\": 17780,\n      \"borrow\": 17781,\n      \"polymer\": 17782,\n      \"clashes\": 17783,\n      \"michaels\": 17784,\n      \"monitored\": 17785,\n      \"commitments\": 17786,\n      \"denounced\": 17787,\n      \"##25\": 17788,\n      \"##von\": 17789,\n      \"cavity\": 17790,\n      \"##oney\": 17791,\n      \"hobby\": 17792,\n      \"akin\": 17793,\n      \"##holders\": 17794,\n      \"futures\": 17795,\n      \"intricate\": 17796,\n      \"cornish\": 17797,\n      \"patty\": 17798,\n      \"##oned\": 17799,\n      \"illegally\": 17800,\n      \"dolphin\": 17801,\n      \"##lag\": 17802,\n      \"barlow\": 17803,\n      \"yellowish\": 17804,\n      \"maddie\": 17805,\n      \"apologized\": 17806,\n      \"luton\": 17807,\n      \"plagued\": 17808,\n      \"##puram\": 17809,\n      \"nana\": 17810,\n      \"##rds\": 17811,\n      \"sway\": 17812,\n      \"fanny\": 17813,\n      \"łodz\": 17814,\n      \"##rino\": 17815,\n      \"psi\": 17816,\n  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\"##uss\": 17854,\n      \"mongolian\": 17855,\n      \"diver\": 17856,\n      \"attackers\": 17857,\n      \"eagerly\": 17858,\n      \"ideological\": 17859,\n      \"pillows\": 17860,\n      \"miracles\": 17861,\n      \"apartheid\": 17862,\n      \"revolver\": 17863,\n      \"sulfur\": 17864,\n      \"clinics\": 17865,\n      \"moran\": 17866,\n      \"163\": 17867,\n      \"##enko\": 17868,\n      \"ile\": 17869,\n      \"katy\": 17870,\n      \"rhetoric\": 17871,\n      \"##icated\": 17872,\n      \"chronology\": 17873,\n      \"recycling\": 17874,\n      \"##hrer\": 17875,\n      \"elongated\": 17876,\n      \"mughal\": 17877,\n      \"pascal\": 17878,\n      \"profiles\": 17879,\n      \"vibration\": 17880,\n      \"databases\": 17881,\n      \"domination\": 17882,\n      \"##fare\": 17883,\n      \"##rant\": 17884,\n      \"matthias\": 17885,\n      \"digest\": 17886,\n      \"rehearsal\": 17887,\n      \"polling\": 17888,\n      \"weiss\": 17889,\n      \"initiation\": 17890,\n      \"reeves\": 17891,\n      \"clinging\": 17892,\n      \"flourished\": 17893,\n      \"impress\": 17894,\n      \"ngo\": 17895,\n      \"##hoff\": 17896,\n      \"##ume\": 17897,\n      \"buckley\": 17898,\n      \"symposium\": 17899,\n      \"rhythms\": 17900,\n      \"weed\": 17901,\n      \"emphasize\": 17902,\n      \"transforming\": 17903,\n      \"##taking\": 17904,\n      \"##gence\": 17905,\n      \"##yman\": 17906,\n      \"accountant\": 17907,\n      \"analyze\": 17908,\n      \"flicker\": 17909,\n      \"foil\": 17910,\n      \"priesthood\": 17911,\n      \"voluntarily\": 17912,\n      \"decreases\": 17913,\n      \"##80\": 17914,\n      \"##hya\": 17915,\n      \"slater\": 17916,\n      \"sv\": 17917,\n      \"charting\": 17918,\n      \"mcgill\": 17919,\n      \"##lde\": 17920,\n      \"moreno\": 17921,\n      \"##iu\": 17922,\n      \"besieged\": 17923,\n      \"zur\": 17924,\n      \"robes\": 17925,\n      \"##phic\": 17926,\n      \"admitting\": 17927,\n    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\"##cards\": 17965,\n      \"smoothed\": 17966,\n      \"whales\": 17967,\n      \"##cene\": 17968,\n      \"adler\": 17969,\n      \"countered\": 17970,\n      \"duffy\": 17971,\n      \"disciplinary\": 17972,\n      \"widening\": 17973,\n      \"recipe\": 17974,\n      \"reliance\": 17975,\n      \"conducts\": 17976,\n      \"goats\": 17977,\n      \"gradient\": 17978,\n      \"preaching\": 17979,\n      \"##shaw\": 17980,\n      \"matilda\": 17981,\n      \"quasi\": 17982,\n      \"striped\": 17983,\n      \"meridian\": 17984,\n      \"cannabis\": 17985,\n      \"cordoba\": 17986,\n      \"certificates\": 17987,\n      \"##agh\": 17988,\n      \"##tering\": 17989,\n      \"graffiti\": 17990,\n      \"hangs\": 17991,\n      \"pilgrims\": 17992,\n      \"repeats\": 17993,\n      \"##ych\": 17994,\n      \"revive\": 17995,\n      \"urine\": 17996,\n      \"etat\": 17997,\n      \"##hawk\": 17998,\n      \"fueled\": 17999,\n      \"belts\": 18000,\n      \"fuzzy\": 18001,\n      \"susceptible\": 18002,\n      \"##hang\": 18003,\n      \"mauritius\": 18004,\n      \"salle\": 18005,\n      \"sincere\": 18006,\n      \"beers\": 18007,\n      \"hooks\": 18008,\n      \"##cki\": 18009,\n      \"arbitration\": 18010,\n      \"entrusted\": 18011,\n      \"advise\": 18012,\n      \"sniffed\": 18013,\n      \"seminar\": 18014,\n      \"junk\": 18015,\n      \"donnell\": 18016,\n      \"processors\": 18017,\n      \"principality\": 18018,\n      \"strapped\": 18019,\n      \"celia\": 18020,\n      \"mendoza\": 18021,\n      \"everton\": 18022,\n      \"fortunes\": 18023,\n      \"prejudice\": 18024,\n      \"starving\": 18025,\n      \"reassigned\": 18026,\n      \"steamer\": 18027,\n      \"##lund\": 18028,\n      \"tuck\": 18029,\n      \"evenly\": 18030,\n      \"foreman\": 18031,\n      \"##ffen\": 18032,\n      \"dans\": 18033,\n      \"375\": 18034,\n      \"envisioned\": 18035,\n      \"slit\": 18036,\n      \"##xy\": 18037,\n      \"baseman\": 18038,\n      \"liberia\": 18039,\n      \"rosemary\": 18040,\n      \"##weed\": 18041,\n      \"electrified\": 18042,\n      \"periodically\": 18043,\n      \"potassium\": 18044,\n      \"stride\": 18045,\n      \"contexts\": 18046,\n      \"sperm\": 18047,\n      \"slade\": 18048,\n      \"mariners\": 18049,\n      \"influx\": 18050,\n      \"bianca\": 18051,\n      \"subcommittee\": 18052,\n      \"##rane\": 18053,\n      \"spilling\": 18054,\n      \"icao\": 18055,\n      \"estuary\": 18056,\n      \"##nock\": 18057,\n      \"delivers\": 18058,\n      \"iphone\": 18059,\n      \"##ulata\": 18060,\n      \"isa\": 18061,\n      \"mira\": 18062,\n      \"bohemian\": 18063,\n      \"dessert\": 18064,\n      \"##sbury\": 18065,\n      \"welcoming\": 18066,\n      \"proudly\": 18067,\n      \"slowing\": 18068,\n      \"##chs\": 18069,\n      \"musee\": 18070,\n      \"ascension\": 18071,\n      \"russ\": 18072,\n      \"##vian\": 18073,\n      \"waits\": 18074,\n      \"##psy\": 18075,\n      \"africans\": 18076,\n      \"exploit\": 18077,\n      \"##morphic\": 18078,\n      \"gov\": 18079,\n      \"eccentric\": 18080,\n      \"crab\": 18081,\n      \"peck\": 18082,\n      \"##ull\": 18083,\n      \"entrances\": 18084,\n      \"formidable\": 18085,\n      \"marketplace\": 18086,\n      \"groom\": 18087,\n      \"bolted\": 18088,\n      \"metabolism\": 18089,\n      \"patton\": 18090,\n      \"robbins\": 18091,\n      \"courier\": 18092,\n      \"payload\": 18093,\n      \"endure\": 18094,\n      \"##ifier\": 18095,\n      \"andes\": 18096,\n      \"refrigerator\": 18097,\n      \"##pr\": 18098,\n      \"ornate\": 18099,\n      \"##uca\": 18100,\n      \"ruthless\": 18101,\n      \"illegitimate\": 18102,\n      \"masonry\": 18103,\n      \"strasbourg\": 18104,\n      \"bikes\": 18105,\n      \"adobe\": 18106,\n      \"##³\": 18107,\n      \"apples\": 18108,\n      \"quintet\": 18109,\n      \"willingly\": 18110,\n      \"niche\": 18111,\n      \"bakery\": 18112,\n      \"corpses\": 18113,\n      \"energetic\": 18114,\n      \"##cliffe\": 18115,\n      \"##sser\": 18116,\n      \"##ards\": 18117,\n      \"177\": 18118,\n      \"centimeters\": 18119,\n      \"centro\": 18120,\n      \"fuscous\": 18121,\n      \"cretaceous\": 18122,\n      \"rancho\": 18123,\n      \"##yde\": 18124,\n      \"andrei\": 18125,\n      \"telecom\": 18126,\n      \"tottenham\": 18127,\n      \"oasis\": 18128,\n      \"ordination\": 18129,\n      \"vulnerability\": 18130,\n      \"presiding\": 18131,\n      \"corey\": 18132,\n      \"cp\": 18133,\n      \"penguins\": 18134,\n      \"sims\": 18135,\n      \"##pis\": 18136,\n      \"malawi\": 18137,\n      \"piss\": 18138,\n      \"##48\": 18139,\n      \"correction\": 18140,\n      \"##cked\": 18141,\n      \"##ffle\": 18142,\n      \"##ryn\": 18143,\n      \"countdown\": 18144,\n      \"detectives\": 18145,\n      \"psychiatrist\": 18146,\n      \"psychedelic\": 18147,\n      \"dinosaurs\": 18148,\n      \"blouse\": 18149,\n  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\"donate\": 21357,\n      \"af\": 21358,\n      \"christi\": 21359,\n      \"lau\": 21360,\n      \"##acio\": 21361,\n      \"disclosed\": 21362,\n      \"nemesis\": 21363,\n      \"1761\": 21364,\n      \"assemble\": 21365,\n      \"straining\": 21366,\n      \"northamptonshire\": 21367,\n      \"tal\": 21368,\n      \"##asi\": 21369,\n      \"bernardino\": 21370,\n      \"premature\": 21371,\n      \"heidi\": 21372,\n      \"42nd\": 21373,\n      \"coefficients\": 21374,\n      \"galactic\": 21375,\n      \"reproduce\": 21376,\n      \"buzzed\": 21377,\n      \"sensations\": 21378,\n      \"zionist\": 21379,\n      \"monsieur\": 21380,\n      \"myrtle\": 21381,\n      \"##eme\": 21382,\n      \"archery\": 21383,\n      \"strangled\": 21384,\n      \"musically\": 21385,\n      \"viewpoint\": 21386,\n      \"antiquities\": 21387,\n      \"bei\": 21388,\n      \"trailers\": 21389,\n      \"seahawks\": 21390,\n      \"cured\": 21391,\n      \"pee\": 21392,\n      \"preferring\": 21393,\n 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\"thrusting\": 21468,\n      \"dl\": 21469,\n      \"experimentation\": 21470,\n      \"##hesion\": 21471,\n      \"##46\": 21472,\n      \"caressed\": 21473,\n      \"entertained\": 21474,\n      \"steak\": 21475,\n      \"##rangle\": 21476,\n      \"biologist\": 21477,\n      \"orphans\": 21478,\n      \"baroness\": 21479,\n      \"oyster\": 21480,\n      \"stepfather\": 21481,\n      \"##dridge\": 21482,\n      \"mirage\": 21483,\n      \"reefs\": 21484,\n      \"speeding\": 21485,\n      \"##31\": 21486,\n      \"barons\": 21487,\n      \"1764\": 21488,\n      \"227\": 21489,\n      \"inhabit\": 21490,\n      \"preached\": 21491,\n      \"repealed\": 21492,\n      \"##tral\": 21493,\n      \"honoring\": 21494,\n      \"boogie\": 21495,\n      \"captives\": 21496,\n      \"administer\": 21497,\n      \"johanna\": 21498,\n      \"##imate\": 21499,\n      \"gel\": 21500,\n      \"suspiciously\": 21501,\n      \"1767\": 21502,\n      \"sobs\": 21503,\n      \"##dington\": 21504,\n      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\"skulls\": 21542,\n      \"##stadt\": 21543,\n      \"dolores\": 21544,\n      \"jewellery\": 21545,\n      \"sarawak\": 21546,\n      \"##wai\": 21547,\n      \"##zier\": 21548,\n      \"fences\": 21549,\n      \"christy\": 21550,\n      \"confinement\": 21551,\n      \"tumbling\": 21552,\n      \"credibility\": 21553,\n      \"fir\": 21554,\n      \"stench\": 21555,\n      \"##bria\": 21556,\n      \"##plication\": 21557,\n      \"##nged\": 21558,\n      \"##sam\": 21559,\n      \"virtues\": 21560,\n      \"##belt\": 21561,\n      \"marjorie\": 21562,\n      \"pba\": 21563,\n      \"##eem\": 21564,\n      \"##made\": 21565,\n      \"celebrates\": 21566,\n      \"schooner\": 21567,\n      \"agitated\": 21568,\n      \"barley\": 21569,\n      \"fulfilling\": 21570,\n      \"anthropologist\": 21571,\n      \"##pro\": 21572,\n      \"restrict\": 21573,\n      \"novi\": 21574,\n      \"regulating\": 21575,\n      \"##nent\": 21576,\n      \"padres\": 21577,\n      \"##rani\": 21578,\n    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\"##logies\": 21615,\n      \"akira\": 21616,\n      \"rani\": 21617,\n      \"regulator\": 21618,\n      \"##36\": 21619,\n      \"grasses\": 21620,\n      \"##rance\": 21621,\n      \"luzon\": 21622,\n      \"crows\": 21623,\n      \"compiler\": 21624,\n      \"gretchen\": 21625,\n      \"seaman\": 21626,\n      \"edouard\": 21627,\n      \"tab\": 21628,\n      \"buccaneers\": 21629,\n      \"ellington\": 21630,\n      \"hamlets\": 21631,\n      \"whig\": 21632,\n      \"socialists\": 21633,\n      \"##anto\": 21634,\n      \"directorial\": 21635,\n      \"easton\": 21636,\n      \"mythological\": 21637,\n      \"##kr\": 21638,\n      \"##vary\": 21639,\n      \"rhineland\": 21640,\n      \"semantic\": 21641,\n      \"taut\": 21642,\n      \"dune\": 21643,\n      \"inventions\": 21644,\n      \"succeeds\": 21645,\n      \"##iter\": 21646,\n      \"replication\": 21647,\n      \"branched\": 21648,\n      \"##pired\": 21649,\n      \"jul\": 21650,\n      \"prosecuted\": 21651,\n      \"kangaroo\": 21652,\n      \"penetrated\": 21653,\n      \"##avian\": 21654,\n      \"middlesbrough\": 21655,\n      \"doses\": 21656,\n      \"bleak\": 21657,\n      \"madam\": 21658,\n      \"predatory\": 21659,\n      \"relentless\": 21660,\n      \"##vili\": 21661,\n      \"reluctance\": 21662,\n      \"##vir\": 21663,\n      \"hailey\": 21664,\n      \"crore\": 21665,\n      \"silvery\": 21666,\n      \"1759\": 21667,\n      \"monstrous\": 21668,\n      \"swimmers\": 21669,\n      \"transmissions\": 21670,\n      \"hawthorn\": 21671,\n      \"informing\": 21672,\n      \"##eral\": 21673,\n      \"toilets\": 21674,\n      \"caracas\": 21675,\n      \"crouch\": 21676,\n      \"kb\": 21677,\n      \"##sett\": 21678,\n      \"295\": 21679,\n      \"cartel\": 21680,\n      \"hadley\": 21681,\n      \"##aling\": 21682,\n      \"alexia\": 21683,\n      \"yvonne\": 21684,\n      \"##biology\": 21685,\n      \"cinderella\": 21686,\n      \"eton\": 21687,\n      \"superb\": 21688,\n      \"blizzard\": 21689,\n      \"stabbing\": 21690,\n      \"industrialist\": 21691,\n      \"maximus\": 21692,\n      \"##gm\": 21693,\n      \"##orus\": 21694,\n      \"groves\": 21695,\n      \"maud\": 21696,\n      \"clade\": 21697,\n      \"oversized\": 21698,\n      \"comedic\": 21699,\n      \"##bella\": 21700,\n      \"rosen\": 21701,\n      \"nomadic\": 21702,\n      \"fulham\": 21703,\n      \"montane\": 21704,\n      \"beverages\": 21705,\n      \"galaxies\": 21706,\n      \"redundant\": 21707,\n      \"swarm\": 21708,\n      \"##rot\": 21709,\n      \"##folia\": 21710,\n      \"##llis\": 21711,\n      \"buckinghamshire\": 21712,\n      \"fen\": 21713,\n      \"bearings\": 21714,\n      \"bahadur\": 21715,\n      \"##rom\": 21716,\n      \"gilles\": 21717,\n      \"phased\": 21718,\n      \"dynamite\": 21719,\n      \"faber\": 21720,\n      \"benoit\": 21721,\n      \"vip\": 21722,\n      \"##ount\": 21723,\n      \"##wd\": 21724,\n      \"booking\": 21725,\n      \"fractured\": 21726,\n      \"tailored\": 21727,\n      \"anya\": 21728,\n      \"spices\": 21729,\n      \"westwood\": 21730,\n      \"cairns\": 21731,\n      \"auditions\": 21732,\n      \"inflammation\": 21733,\n      \"steamed\": 21734,\n      \"##rocity\": 21735,\n      \"##acion\": 21736,\n      \"##urne\": 21737,\n      \"skyla\": 21738,\n      \"thereof\": 21739,\n      \"watford\": 21740,\n      \"torment\": 21741,\n      \"archdeacon\": 21742,\n      \"transforms\": 21743,\n      \"lulu\": 21744,\n      \"demeanor\": 21745,\n      \"fucked\": 21746,\n      \"serge\": 21747,\n      \"##sor\": 21748,\n      \"mckenna\": 21749,\n      \"minas\": 21750,\n      \"entertainer\": 21751,\n      \"##icide\": 21752,\n      \"caress\": 21753,\n      \"originate\": 21754,\n      \"residue\": 21755,\n      \"##sty\": 21756,\n      \"1740\": 21757,\n      \"##ilised\": 21758,\n      \"##org\": 21759,\n      \"beech\": 21760,\n      \"##wana\": 21761,\n      \"subsidies\": 21762,\n      \"##ghton\": 21763,\n      \"emptied\": 21764,\n      \"gladstone\": 21765,\n      \"ru\": 21766,\n      \"firefighters\": 21767,\n      \"voodoo\": 21768,\n      \"##rcle\": 21769,\n      \"het\": 21770,\n      \"nightingale\": 21771,\n      \"tamara\": 21772,\n      \"edmond\": 21773,\n      \"ingredient\": 21774,\n      \"weaknesses\": 21775,\n      \"silhouette\": 21776,\n      \"285\": 21777,\n      \"compatibility\": 21778,\n      \"withdrawing\": 21779,\n      \"hampson\": 21780,\n      \"##mona\": 21781,\n      \"anguish\": 21782,\n      \"giggling\": 21783,\n      \"##mber\": 21784,\n      \"bookstore\": 21785,\n      \"##jiang\": 21786,\n      \"southernmost\": 21787,\n      \"tilting\": 21788,\n      \"##vance\": 21789,\n      \"bai\": 21790,\n      \"economical\": 21791,\n      \"rf\": 21792,\n      \"briefcase\": 21793,\n      \"dreadful\": 21794,\n      \"hinted\": 21795,\n      \"projections\": 21796,\n      \"shattering\": 21797,\n      \"totaling\": 21798,\n      \"##rogate\": 21799,\n      \"analogue\": 21800,\n      \"indicted\": 21801,\n      \"periodical\": 21802,\n      \"fullback\": 21803,\n      \"##dman\": 21804,\n      \"haynes\": 21805,\n      \"##tenberg\": 21806,\n      \"##ffs\": 21807,\n      \"##ishment\": 21808,\n      \"1745\": 21809,\n      \"thirst\": 21810,\n      \"stumble\": 21811,\n      \"penang\": 21812,\n      \"vigorous\": 21813,\n      \"##ddling\": 21814,\n      \"##kor\": 21815,\n      \"##lium\": 21816,\n      \"octave\": 21817,\n      \"##ove\": 21818,\n      \"##enstein\": 21819,\n      \"##inen\": 21820,\n      \"##ones\": 21821,\n      \"siberian\": 21822,\n      \"##uti\": 21823,\n      \"cbn\": 21824,\n      \"repeal\": 21825,\n      \"swaying\": 21826,\n      \"##vington\": 21827,\n      \"khalid\": 21828,\n      \"tanaka\": 21829,\n      \"unicorn\": 21830,\n      \"otago\": 21831,\n      \"plastered\": 21832,\n      \"lobe\": 21833,\n      \"riddle\": 21834,\n      \"##rella\": 21835,\n      \"perch\": 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21949,\n      \"262\": 21950,\n      \"notions\": 21951,\n      \"stairway\": 21952,\n      \"compiling\": 21953,\n      \"pursed\": 21954,\n      \"commodities\": 21955,\n      \"grease\": 21956,\n      \"yeast\": 21957,\n      \"##jong\": 21958,\n      \"carthage\": 21959,\n      \"griffiths\": 21960,\n      \"residual\": 21961,\n      \"amc\": 21962,\n      \"contraction\": 21963,\n      \"laird\": 21964,\n      \"sapphire\": 21965,\n      \"##marine\": 21966,\n      \"##ivated\": 21967,\n      \"amalgamation\": 21968,\n      \"dissolve\": 21969,\n      \"inclination\": 21970,\n      \"lyle\": 21971,\n      \"packaged\": 21972,\n      \"altitudes\": 21973,\n      \"suez\": 21974,\n      \"canons\": 21975,\n      \"graded\": 21976,\n      \"lurched\": 21977,\n      \"narrowing\": 21978,\n      \"boasts\": 21979,\n      \"guise\": 21980,\n      \"wed\": 21981,\n      \"enrico\": 21982,\n      \"##ovsky\": 21983,\n      \"rower\": 21984,\n      \"scarred\": 21985,\n      \"bree\": 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\"ineligible\": 22023,\n      \"pensions\": 22024,\n      \"##38\": 22025,\n      \"##omic\": 22026,\n      \"manufactures\": 22027,\n      \"emails\": 22028,\n      \"bismarck\": 22029,\n      \"238\": 22030,\n      \"weakening\": 22031,\n      \"blackish\": 22032,\n      \"ding\": 22033,\n      \"mcgee\": 22034,\n      \"quo\": 22035,\n      \"##rling\": 22036,\n      \"northernmost\": 22037,\n      \"xx\": 22038,\n      \"manpower\": 22039,\n      \"greed\": 22040,\n      \"sampson\": 22041,\n      \"clicking\": 22042,\n      \"##ange\": 22043,\n      \"##horpe\": 22044,\n      \"##inations\": 22045,\n      \"##roving\": 22046,\n      \"torre\": 22047,\n      \"##eptive\": 22048,\n      \"##moral\": 22049,\n      \"symbolism\": 22050,\n      \"38th\": 22051,\n      \"asshole\": 22052,\n      \"meritorious\": 22053,\n      \"outfits\": 22054,\n      \"splashed\": 22055,\n      \"biographies\": 22056,\n      \"sprung\": 22057,\n      \"astros\": 22058,\n      \"##tale\": 22059,\n      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    "content": "{\n  \"added_tokens_decoder\": {\n    \"0\": {\n      \"content\": \"[PAD]\",\n      \"lstrip\": false,\n      \"normalized\": false,\n      \"rstrip\": false,\n      \"single_word\": false,\n      \"special\": true\n    },\n    \"100\": {\n      \"content\": \"[UNK]\",\n      \"lstrip\": false,\n      \"normalized\": false,\n      \"rstrip\": false,\n      \"single_word\": false,\n      \"special\": true\n    },\n    \"101\": {\n      \"content\": \"[CLS]\",\n      \"lstrip\": false,\n      \"normalized\": false,\n      \"rstrip\": false,\n      \"single_word\": false,\n      \"special\": true\n    },\n    \"102\": {\n      \"content\": \"[SEP]\",\n      \"lstrip\": false,\n      \"normalized\": false,\n      \"rstrip\": false,\n      \"single_word\": false,\n      \"special\": true\n    },\n    \"103\": {\n      \"content\": \"[MASK]\",\n      \"lstrip\": false,\n      \"normalized\": false,\n      \"rstrip\": false,\n      \"single_word\": false,\n      \"special\": true\n    }\n  },\n  \"clean_up_tokenization_spaces\": false,\n  \"cls_token\": \"[CLS]\",\n  \"do_basic_tokenize\": true,\n  \"do_lower_case\": true,\n  \"mask_token\": \"[MASK]\",\n  \"max_length\": 128,\n  \"model_max_length\": 256,\n  \"never_split\": null,\n  \"pad_to_multiple_of\": null,\n  \"pad_token\": \"[PAD]\",\n  \"pad_token_type_id\": 0,\n  \"padding_side\": \"right\",\n  \"sep_token\": \"[SEP]\",\n  \"stride\": 0,\n  \"strip_accents\": null,\n  \"tokenize_chinese_chars\": true,\n  \"tokenizer_class\": \"BertTokenizer\",\n  \"truncation_side\": \"right\",\n  \"truncation_strategy\": \"longest_first\",\n  \"unk_token\": \"[UNK]\"\n}\n"
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    "path": "data/outputs/sbert_model/vocab.txt",
    "content": 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\nニ\nノ\nハ\nヒ\nフ\nヘ\nホ\nマ\nミ\nム\nメ\nモ\nャ\nュ\nョ\nラ\nリ\nル\nレ\nロ\nワ\nン\n・\nー\n一\n三\n上\n下\n不\n世\n中\n主\n久\n之\n也\n事\n二\n五\n井\n京\n人\n亻\n仁\n介\n代\n仮\n伊\n会\n佐\n侍\n保\n信\n健\n元\n光\n八\n公\n内\n出\n分\n前\n劉\n力\n加\n勝\n北\n区\n十\n千\n南\n博\n原\n口\n古\n史\n司\n合\n吉\n同\n名\n和\n囗\n四\n国\n國\n土\n地\n坂\n城\n堂\n場\n士\n夏\n外\n大\n天\n太\n夫\n奈\n女\n子\n学\n宀\n宇\n安\n宗\n定\n宣\n宮\n家\n宿\n寺\n將\n小\n尚\n山\n岡\n島\n崎\n川\n州\n巿\n帝\n平\n年\n幸\n广\n弘\n張\n彳\n後\n御\n德\n心\n忄\n志\n忠\n愛\n成\n我\n戦\n戸\n手\n扌\n政\n文\n新\n方\n日\n明\n星\n春\n昭\n智\n曲\n書\n月\n有\n朝\n木\n本\n李\n村\n東\n松\n林\n森\n楊\n樹\n橋\n歌\n止\n正\n武\n比\n氏\n民\n水\n氵\n氷\n永\n江\n沢\n河\n治\n法\n海\n清\n漢\n瀬\n火\n版\n犬\n王\n生\n田\n男\n疒\n発\n白\n的\n皇\n目\n相\n省\n真\n石\n示\n社\n神\n福\n禾\n秀\n秋\n空\n立\n章\n竹\n糹\n美\n義\n耳\n良\n艹\n花\n英\n華\n葉\n藤\n行\n街\n西\n見\n訁\n語\n谷\n貝\n貴\n車\n軍\n辶\n道\n郎\n郡\n部\n都\n里\n野\n金\n鈴\n镇\n長\n門\n間\n阝\n阿\n陳\n陽\n雄\n青\n面\n風\n食\n香\n馬\n高\n龍\n龸\nﬁ\nﬂ\n！\n（\n）\n，\n－\n．\n／\n：\n？\n～\nthe\nof\nand\nin\nto\nwas\nhe\nis\nas\nfor\non\nwith\nthat\nit\nhis\nby\nat\nfrom\nher\n##s\nshe\nyou\nhad\nan\nwere\nbut\nbe\nthis\nare\nnot\nmy\nthey\none\nwhich\nor\nhave\nhim\nme\nfirst\nall\nalso\ntheir\nhas\nup\nwho\nout\nbeen\nwhen\nafter\nthere\ninto\nnew\ntwo\nits\n##a\ntime\nwould\nno\nwhat\nabout\nsaid\nwe\nover\nthen\nother\nso\nmore\n##e\ncan\nif\nlike\nback\nthem\nonly\nsome\ncould\n##i\nwhere\njust\n##ing\nduring\nbefore\n##n\ndo\n##o\nmade\nschool\nthrough\nthan\nnow\nyears\nmost\nworld\nmay\nbetween\ndown\nwell\nthree\n##d\nyear\nwhile\nwill\n##ed\n##r\n##y\nlater\n##t\ncity\nunder\naround\ndid\nsuch\nbeing\nused\nstate\npeople\npart\nknow\nagainst\nyour\nmany\nsecond\nuniversity\nboth\nnational\n##er\nthese\ndon\nknown\noff\nway\nuntil\nre\nhow\neven\nget\nhead\n...\ndidn\n##ly\nteam\namerican\nbecause\nde\n##l\nborn\nunited\nfilm\nsince\nstill\nlong\nwork\nsouth\nus\nbecame\nany\nhigh\nagain\nday\nfamily\nsee\nright\nman\neyes\nhouse\nseason\nwar\nstates\nincluding\ntook\nlife\nnorth\nsame\neach\ncalled\nname\nmuch\nplace\nhowever\ngo\nfour\ngroup\nanother\nfound\nwon\narea\nhere\ngoing\n10\naway\nseries\nleft\nhome\nmusic\nbest\nmake\nhand\nnumber\ncompany\nseveral\nnever\nlast\njohn\n000\nvery\nalbum\ntake\nend\ngood\ntoo\nfollowing\nreleased\ngame\nplayed\nlittle\nbegan\ndistrict\n##m\nold\nwant\nthose\nside\nheld\nown\nearly\ncounty\nll\nleague\nuse\nwest\n##u\nface\nthink\n##es\n2010\ngovernment\n##h\nmarch\ncame\nsmall\ngeneral\ntown\njune\n##on\nline\nbased\nsomething\n##k\nseptember\nthought\nlooked\nalong\ninternational\n2011\nair\njuly\nclub\nwent\njanuary\noctober\nour\naugust\napril\nyork\n12\nfew\n2012\n2008\neast\nshow\nmember\ncollege\n2009\nfather\npublic\n##us\ncome\nmen\nfive\nset\nstation\nchurch\n##c\nnext\nformer\nnovember\nroom\nparty\nlocated\ndecember\n2013\nage\ngot\n2007\n##g\nsystem\nlet\nlove\n2006\nthough\nevery\n2014\nlook\nsong\nwater\ncentury\nwithout\nbody\nblack\nnight\nwithin\ngreat\nwomen\nsingle\nve\nbuilding\nlarge\npopulation\nriver\nnamed\nband\nwhite\nstarted\n##an\nonce\n15\n20\nshould\n18\n2015\nservice\ntop\nbuilt\nbritish\nopen\ndeath\nking\nmoved\nlocal\ntimes\nchildren\nfebruary\nbook\nwhy\n11\ndoor\nneed\npresident\norder\nfinal\nroad\nwasn\nalthough\ndue\nmajor\ndied\nvillage\nthird\nknew\n2016\nasked\nturned\nst\nwanted\nsay\n##p\ntogether\nreceived\nmain\nson\nserved\ndifferent\n##en\nbehind\nhimself\nfelt\nmembers\npower\nfootball\nlaw\nvoice\nplay\n##in\nnear\npark\nhistory\n30\nhaving\n2005\n16\n##man\nsaw\nmother\n##al\narmy\npoint\nfront\nhelp\nenglish\nstreet\nart\nlate\nhands\ngames\naward\n##ia\nyoung\n14\nput\npublished\ncountry\ndivision\nacross\ntold\n13\noften\never\nfrench\nlondon\ncenter\nsix\nred\n2017\nled\ndays\ninclude\nlight\n25\nfind\ntell\namong\nspecies\nreally\naccording\ncentral\nhalf\n2004\nform\noriginal\ngave\noffice\nmaking\nenough\nlost\nfull\nopened\nmust\nincluded\nlive\ngiven\ngerman\nplayer\nrun\nbusiness\nwoman\ncommunity\ncup\nmight\nmillion\nland\n2000\ncourt\ndevelopment\n17\nshort\nround\nii\nkm\nseen\nclass\nstory\nalways\nbecome\nsure\nresearch\nalmost\ndirector\ncouncil\nla\n##2\ncareer\nthings\nusing\nisland\n##z\ncouldn\ncar\n##is\n24\nclose\nforce\n##1\nbetter\nfree\nsupport\ncontrol\nfield\nstudents\n2003\neducation\nmarried\n##b\nnothing\nworked\nothers\nrecord\nbig\ninside\nlevel\nanything\ncontinued\ngive\njames\n##3\nmilitary\nestablished\nnon\nreturned\nfeel\ndoes\ntitle\nwritten\nthing\nfeet\nwilliam\nfar\nco\nassociation\nhard\nalready\n2002\n##ra\nchampionship\nhuman\nwestern\n100\n##na\ndepartment\nhall\nrole\nvarious\nproduction\n21\n19\nheart\n2001\nliving\nfire\nversion\n##ers\n##f\ntelevision\nroyal\n##4\nproduced\nworking\nact\ncase\nsociety\nregion\npresent\nradio\nperiod\nlooking\nleast\ntotal\nkeep\nengland\nwife\nprogram\nper\nbrother\nmind\nspecial\n22\n##le\nam\nworks\nsoon\n##6\npolitical\ngeorge\nservices\ntaken\ncreated\n##7\nfurther\nable\nreached\ndavid\nunion\njoined\nupon\ndone\nimportant\nsocial\ninformation\neither\n##ic\n##x\nappeared\nposition\nground\nlead\nrock\ndark\nelection\n23\nboard\nfrance\nhair\ncourse\narms\nsite\npolice\ngirl\n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  },
  {
    "path": "data/outputs/train_data_with_clean.csv",
    "content": "Title,Web,Category,Fetched_Title,Abstract,Authors,Journal,Keywords,title_clean\n\"A Grand Unification of Quantum Algorithms - John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang\",https://arxiv.org/abs/2105.02859,,A Grand Unification of Quantum Algorithms,\"Quantum algorithms offer significant speedups over their classical\ncounterparts for a variety of problems. The strongest arguments for this\nadvantage are borne by algorithms for quantum search, quantum phase estimation,\nand Hamiltonian simulation, which appear as subroutines for large families of\ncomposite quantum algorithms. A number of these quantum algorithms were\nrecently tied together by a novel technique known as the quantum singular value\ntransformation (QSVT), which enables one to perform a polynomial transformation\nof the singular values of a linear operator embedded in a unitary matrix. In\nthe seminal GSLW'19 paper on QSVT [Gily\\'en, Su, Low, and Wiebe, ACM STOC\n2019], many algorithms are encompassed, including amplitude amplification,\nmethods for the quantum linear systems problem, and quantum simulation. Here,\nwe provide a pedagogical tutorial through these developments, first\nillustrating how quantum signal processing may be generalized to the quantum\neigenvalue transform, from which QSVT naturally emerges. Paralleling GSLW'19,\nwe then employ QSVT to construct intuitive quantum algorithms for search, phase\nestimation, and Hamiltonian simulation, and also showcase algorithms for the\neigenvalue threshold problem and matrix inversion. This overview illustrates\nhow QSVT is a single framework comprising the three major quantum algorithms,\nthus suggesting a grand unification of quantum algorithms.\",\"John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang\",arXiv,quant-ph,\"john_m._martyn andrew_k._tan isaac_l._chuang a grand unification of_quantum algorithms - john m. martyn , zane m. rossi , andrew k. tan , isaac l. chuang\"\nA photonic cluster state machine gun,https://arxiv.org/abs/0810.2587,Quantum Photonics,A photonic cluster state machine gun,\"We present a method to convert certain single photon sources into devices\ncapable of emitting large strings of photonic cluster state in a controlled and\npulsed \"\"on demand\"\" manner. Such sources would greatly reduce the resources\nrequired to achieve linear optical quantum computation. Standard spin errors,\nsuch as dephasing, are shown to affect only 1 or 2 of the emitted photons at a\ntime. This allows for the use of standard fault tolerance techniques, and shows\nthat the photonic machine gun can be fired for arbitrarily long times. Using\nrealistic parameters for current quantum dot sources, we conclude high\nentangled-photon emission rates are achievable, with Pauli-error rates per\nphoton of less than 0.2%. For quantum dot sources the method has the added\nadvantage of alleviating the problematic issues of obtaining identical photons\nfrom independent, non-identical quantum dots, and of exciton dephasing.\",\"Netanel H. Lindner, Terry Rudolph\",arXiv,\"quant-ph, cond-mat.mes-hall\",a photonic cluster state machine gun\n\"A quantum walk control plane for distributed quantum computing in quantum networks - Matheus Guedes de Andrade, Wenhan Dai, Saikat Guha, Don Towsley\",https://arxiv.org/abs/2106.09839,,\"A quantum walk control plane for distributed quantum computing in\n  quantum networks\",\"Quantum networks are complex systems formed by the interaction among quantum\nprocessors through quantum channels. Analogous to classical computer networks,\nquantum networks allow for the distribution of quantum computation among\nquantum computers. In this work, we describe a quantum walk protocol to perform\ndistributed quantum computing in a quantum network. The protocol uses a quantum\nwalk as a quantum control signal to perform distributed quantum operations. We\nconsider a generalization of the discrete-time coined quantum walk model that\naccounts for the interaction between a quantum walker system in the network\ngraph with quantum registers inside the network nodes. The protocol logically\ncaptures distributed quantum computing, abstracting hardware implementation and\nthe transmission of quantum information through channels. Control signal\ntransmission is mapped to the propagation of the walker system across the\nnetwork, while interactions between the control layer and the quantum registers\nare embedded into the application of coin operators. We demonstrate how to use\nthe quantum walker system to perform a distributed CNOT operation, which shows\nthe universality of the protocol for distributed quantum computing.\nFurthermore, we apply the protocol to the task of entanglement distribution in\na quantum network.\",\"Matheus Guedes de Andrade, Wenhan Dai, Saikat Guha, Don Towsley\",arXiv,quant-ph,\"wenhan_dai don_towsley a quantum walk control plane for distributed_quantum computing in_quantum networks_- matheus guedes de andrade , wenhan dai , saikat guha , don towsley\"\n\"Active learning of quantum system Hamiltonians yields query advantage - Arkopal Dutt, et.al\",https://journals.aps.org/prresearch/pdf/10.1103/PhysRevResearch.5.033060,,Active learning of quantum system Hamiltonians yields query advantage,Unknown,\"Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang\",Physical Review Research,,\"active learning of_quantum system hamiltonians yields query advantage - arkopal dutt , et.al\"\n\"Advances in Quantum Cryptography - S. Pirandola, et.al\",https://arxiv.org/pdf/1906.01645.pdf,,Advances in Quantum Cryptography,\"Quantum cryptography is arguably the fastest growing area in quantum\ninformation science. Novel theoretical protocols are designed on a regular\nbasis, security proofs are constantly improving, and experiments are gradually\nmoving from proof-of-principle lab demonstrations to in-field implementations\nand technological prototypes. In this review, we provide both a general\nintroduction and a state of the art description of the recent advances in the\nfield, both theoretically and experimentally. We start by reviewing protocols\nof quantum key distribution based on discrete variable systems. Next we\nconsider aspects of device independence, satellite challenges, and high rate\nprotocols based on continuous variable systems. We will then discuss the\nultimate limits of point-to-point private communications and how quantum\nrepeaters and networks may overcome these restrictions. Finally, we will\ndiscuss some aspects of quantum cryptography beyond standard quantum key\ndistribution, including quantum data locking and quantum digital signatures.\",\"S. Pirandola, U. L. Andersen, L. Banchi, M. Berta, D. Bunandar, R. Colbeck, D. Englund, T. Gehring, C. Lupo, C. Ottaviani, J. Pereira, M. Razavi, J. S. Shaari, M. Tomamichel, V. C. Usenko, G. Vallone, P. Villoresi, P. Wallden\",arXiv,\"quant-ph, math-ph, math.MP, physics.app-ph, physics.comp-ph, physics.optics\",\"advances in_quantum cryptography - s. pirandola , et.al\"\nAdvantages and Bottlenecks of Quantum Machine Learning for Remote Sensing,https://arxiv.org/abs/2101.10657,Quantum Machine Learning (QML),\"Advantages and Bottlenecks of Quantum Machine Learning for Remote\n  Sensing\",\"This concept paper aims to provide a brief outline of quantum computers,\nexplore existing methods of quantum image classification techniques, so\nfocusing on remote sensing applications, and discuss the bottlenecks of\nperforming these algorithms on currently available open source platforms.\nInitial results demonstrate feasibility. Next steps include expanding the size\nof the quantum hidden layer and increasing the variety of output image options.\",\"Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo\",arXiv,\"quant-ph, cs.AI, cs.LG\",advantages and bottlenecks of_quantum machine_learning for remote sensing\n\"All-photonic quantum repeaters - Koji Azuma, Kiyoshi Tamaki & Hoi-Kwong Lo\",https://arxiv.org/abs/1309.7207,,All photonic quantum repeaters,\"Quantum communication holds promise for unconditionally secure transmission\nof secret messages and faithful transfer of unknown quantum states. Photons\nappear to be the medium of choice for quantum communication. Owing to photon\nlosses, robust quantum communication over long lossy channels requires quantum\nrepeaters. It is widely believed that a necessary and highly demanding\nrequirement for quantum repeaters is the existence of matter quantum memories\nat the repeater nodes. Here we show that such a requirement is, in fact,\nunnecessary by introducing the concept of all photonic quantum repeaters based\non flying qubits. As an example of the realization of this concept, we present\na protocol based on photonic cluster state machine guns and a loss-tolerant\nmeasurement equipped with local high-speed active feedforwards. We show that,\nwith such an all photonic quantum repeater, the communication efficiency still\nscales polynomially with the channel distance. Our result paves a new route\ntoward quantum repeaters with efficient single-photon sources rather than\nmatter quantum memories.\",\"Koji Azuma, Kiyoshi Tamaki, Hoi-Kwong Lo\",arXiv,quant-ph,\"quantum_repeaters_-_koji kiyoshi_tamaki_&_hoi-kwong_lo all - photonic quantum_repeaters - koji azuma , kiyoshi tamaki & hoi - kwong lo\"\n\"An Architecture for Meeting Quality-of-Service Requirements in Multi-User Quantum Networks - Matthew Skrzypczyk, Stephanie Wehner\",https://arxiv.org/abs/2111.13124,,\"An Architecture for Meeting Quality-of-Service Requirements in\n  Multi-User Quantum Networks\",\"Quantum communication can enhance internet technology by enabling novel\napplications that are provably impossible classically. The successful execution\nof such applications relies on the generation of quantum entanglement between\ndifferent users of the network which meets stringent performance requirements.\nAlongside traditional metrics such as throughput and jitter, one must ensure\nthe generated entanglement is of sufficiently high quality. Meeting such\nperformance requirements demands a careful orchestration of many devices in the\nnetwork, giving rise to a fundamentally new scheduling problem. Furthermore,\ntechnological limitations of near-term quantum devices impose significant\nconstraints on scheduling methods hoping to meet performance requirements. In\nthis work, we propose the first end-to-end design of a centralized quantum\nnetwork with multiple users that orchestrates the delivery of entanglement\nwhich meets quality-of-service (QoS) requirements of applications. We achieve\nthis by using a centrally constructed schedule that manages usage of devices\nand ensures the coordinated execution of different quantum operations\nthroughout the network. We use periodic task scheduling and\nresource-constrained project scheduling techniques, including a novel\nheuristic, to construct the schedules. Our simulations of four small networks\nusing hardware-validated network parameters, and of a real-world fiber topology\nusing futuristic parameters, illustrate trade-offs between traditional and\nquantum performance metrics.\",\"Matthew Skrzypczyk, Stephanie Wehner\",arXiv,\"quant-ph, cs.NI\",\"an architecture for meeting quality - of - service requirements in multi - user quantum_networks - matthew skrzypczyk , stephanie wehner\"\nAnti-Hong-Ou-Mandel effect with entangled photons,https://arxiv.org/abs/2105.05444,The Hong-Ou-Mandel Effect,Anti-Hong-Ou-Mandel effect with entangled photons,\"In the classical Hong-Ou-Mandel (HOM) effect pairs of photons with bosonic\n(fermionic) spatial wavefunction coalesce (anti-coalesce) when mixed on a\nlossless beamsplitter. Here we report that the presence of dissipation in the\nbeamsplitter allows the observation of the anti-HOM effect, where bosons\nanti-coalesce and fermions show coalescent-like behavior. We provide an\nexperimental demonstration of the anti-HOM effect for both bosonic and\nfermionic two-photon entangled states. Beyond its fundamental significance, the\nanti-HOM effect offers applications in quantum information and metrology where\nstates of entangled photons are dynamically converted.\",\"Anton N. Vetlugin, Ruixiang Guo, Cesare Soci, Nikolay I. Zheludev\",arXiv,quant-ph,anti - hong - ou - mandel effect with entangled photons\nAssembly and coherent control of a register of nuclear spin qubits,https://arxiv.org/abs/2108.04790,,Assembly and coherent control of a register of nuclear spin qubits,\"We introduce an optical tweezer platform for assembling and individually\nmanipulating a two-dimensional register of nuclear spin qubits. Each nuclear\nspin qubit is encoded in the ground $^{1}S_{0}$ manifold of $^{87}$Sr and is\nindividually manipulated by site-selective addressing beams. We observe that\nspin relaxation is negligible after 5 seconds, indicating that $T_1\\gg5$ s.\nFurthermore, utilizing simultaneous manipulation of subsets of qubits, we\ndemonstrate significant phase coherence over the entire register, estimating\n$T_2^\\star = \\left(21\\pm7\\right)$ s and measuring\n$T_2^\\text{echo}=\\left(42\\pm6\\right)$ s.\",\"Katrina Barnes, Peter Battaglino, Benjamin J. Bloom, Kayleigh Cassella, Robin Coxe, Nicole Crisosto, Jonathan P. King, Stanimir S. Kondov, Krish Kotru, Stuart C. Larsen, Joseph Lauigan, Brian J. Lester, Mickey McDonald, Eli Megidish, Sandeep Narayanaswami, Ciro Nishiguchi, Remy Notermans, Lucas S. Peng, Albert Ryou, Tsung-Yao Wu, Michael Yarwood\",arXiv,\"quant-ph, physics.atom-ph\",assembly and coherent control of a register of nuclear spin qubits\nAutomated distribution of quantum circuits via hypergraph partitioning,https://arxiv.org/abs/1811.10972,Quantum Circuits,Automated distribution of quantum circuits via hypergraph partitioning,\"Quantum algorithms are usually described as monolithic circuits, becoming\nlarge at modest input size. Near-term quantum architectures can only manage a\nsmall number of qubits. We develop an automated method to distribute quantum\ncircuits over multiple agents, minimising quantum communication between them.\nWe reduce the problem to hypergraph partitioning and then solve it with\nstate-of-the-art optimisers. This makes our approach useful in practice, unlike\nprevious methods. Our implementation is evaluated on five quantum circuits of\npractical relevance.\",\"Pablo Andrés-Martínez, Chris Heunen\",arXiv,quant-ph,automated distribution of_quantum circuits via hypergraph partitioning\nBlueprint for a Scalable Photonic Fault-Tolerant Quantum Computer,https://arxiv.org/abs/2010.02905,Quantum Photonics,Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer,\"Photonics is the platform of choice to build a modular, easy-to-network\nquantum computer operating at room temperature. However, no concrete\narchitecture has been presented so far that exploits both the advantages of\nqubits encoded into states of light and the modern tools for their generation.\nHere we propose such a design for a scalable and fault-tolerant photonic\nquantum computer informed by the latest developments in theory and technology.\nCentral to our architecture is the generation and manipulation of\nthree-dimensional hybrid resource states comprising both bosonic qubits and\nsqueezed vacuum states. The proposal enables exploiting state-of-the-art\nprocedures for the non-deterministic generation of bosonic qubits combined with\nthe strengths of continuous-variable quantum computation, namely the\nimplementation of Clifford gates using easy-to-generate squeezed states.\nMoreover, the architecture is based on two-dimensional integrated photonic\nchips used to produce a qubit cluster state in one temporal and two spatial\ndimensions. By reducing the experimental challenges as compared to existing\narchitectures and by enabling room-temperature quantum computation, our design\nopens the door to scalable fabrication and operation, which may allow photonics\nto leap-frog other platforms on the path to a quantum computer with millions of\nqubits.\",\"J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer, Ashlesha Patil, Ilan Tzitrin, Takaya Matsuura, Daiqin Su, Ben Q. Baragiola, Saikat Guha, Guillaume Dauphinais, Krishna K. Sabapathy, Nicolas C. Menicucci, Ish Dhand\",arXiv,quant-ph,blueprint for a scalable photonic fault - tolerant quantum_computer\nBootstrap Embedding on a Quantum Computer,https://arxiv.org/pdf/2301.01457.pdf,Quantum Algorithms,Bootstrap Embedding on a Quantum Computer,\"We extend molecular bootstrap embedding to make it appropriate for\nimplementation on a quantum computer. This enables solution of the electronic\nstructure problem of a large molecule as an optimization problem for a\ncomposite Lagrangian governing fragments of the total system, in such a way\nthat fragment solutions can harness the capabilities of quantum computers. By\nemploying state-of-art quantum subroutines including the quantum SWAP test and\nquantum amplitude amplification, we show how a quadratic speedup can be\nobtained over the classical algorithm, in principle. Utilization of quantum\ncomputation also allows the algorithm to match -- at little additional\ncomputational cost -- full density matrices at fragment boundaries, instead of\nbeing limited to 1-RDMs. Current quantum computers are small, but quantum\nbootstrap embedding provides a potentially generalizable strategy for\nharnessing such small machines through quantum fragment matching.\",\"Yuan Liu, Oinam R. Meitei, Zachary E. Chin, Arkopal Dutt, Max Tao, Isaac L. Chuang, Troy Van Voorhis\",arXiv,\"quant-ph, physics.chem-ph\",bootstrap embedding on a quantum_computer\n\"Classical, quantum and total correlations\",https://iopscience.iop.org/article/10.1088/0305-4470/34/35/315,Quantum Information Theory,\"Classical, quantum and total correlations\",Unknown,\"L Henderson, V Vedral\",Journal of Physics A: Mathematical and General,,\"classical , quantum and total correlations\"\n\"Coherent shuttle of electron-spin states - T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, L. M. K. Vandersype\",https://arxiv.org/abs/1701.00815,,Coherent shuttle of electron-spin states,\"We demonstrate a coherent spin shuttle through a GaAs/AlGaAs\nquadruple-quantum-dot array. Starting with two electrons in a spin-singlet\nstate in the first dot, we shuttle one electron over to either the second,\nthird or fourth dot. We observe that the separated spin-singlet evolves\nperiodically into the $m=0$ spin-triplet and back before it dephases due to\nnuclear spin noise. We attribute the time evolution to differences in the local\nZeeman splitting between the respective dots. With the help of numerical\nsimulations, we analyse and discuss the visibility of the singlet-triplet\noscillations and connect it to the requirements for coherent spin shuttling in\nterms of the inter-dot tunnel coupling strength and rise time of the pulses.\nThe distribution of entangled spin pairs through tunnel coupled structures may\nbe of great utility for connecting distant qubit registers on a chip.\",\"T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, L. M. K. Vandersypen\",arXiv,\"cond-mat.mes-hall, quant-ph\",\"t._a._baart c._reichl w._wegscheider l._m._k._vandersype coherent shuttle of electron - spin states - t. fujita , t. a. baart , c. reichl , w. wegscheider , l. m. k. vandersype\"\n\"Commercial applications of quantum computing - Francesco Bova, Avi Goldfarb, Roger G. Melko\",https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-021-00091-1,,Commercial applications of quantum computing,\"AbstractDespite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that some companies are already building using quantum hardware. Framing these as examples of combinatorics problems, we illustrate their application in four industry verticals: cybersecurity, materials and pharmaceuticals, banking and finance, and advanced manufacturing. While quantum computers are not yet available at the scale needed to solve all of these combinatorics problems, we identify three types of near-term opportunities resulting from advances in quantum computing: quantum-safe encryption, material and drug discovery, and quantum-inspired algorithms.\",\"Francesco Bova, Avi Goldfarb, Roger G. Melko\",EPJ Quantum Technology,,\"roger_g._melko commercial applications of_quantum computing_- francesco bova , avi goldfarb , roger g. melko\"\n\"Comparing coherent and incoherent models for quantum homogenization - Anna Beever, Maria Violaris, Chiara Marletto, and Vlatko Vedral\",https://arxiv.org/pdf/2309.15741.pdf,,Comparing coherent and incoherent models for quantum homogenization,\"Here we investigate the role of quantum interference in the quantum\nhomogenizer, whose convergence properties model a thermalization process. In\nthe original quantum homogenizer protocol, a system qubit converges to the\nstate of identical reservoir qubits through partial-swap interactions, that\nallow interference between reservoir qubits. We design an alternative,\nincoherent quantum homogenizer, where each system-reservoir interaction is\nmoderated by a control qubit using a controlled-swap interaction. We show that\nour incoherent homogenizer satisfies the essential conditions for\nhomogenization, being able to transform a qubit from any state to any other\nstate to arbitrary accuracy, with negligible impact on the reservoir qubits'\nstates. Our results show that the convergence properties of homogenization\nmachines that are important for modelling thermalization are not dependent on\ncoherence between qubits in the homogenization protocol. We then derive bounds\non the resources required to re-use the homogenizers for performing state\ntransformations. This demonstrates that both homogenizers are universal for any\nnumber of homogenizations, for an increased resource cost.\",\"Anna Beever, Maria Violaris, Chiara Marletto, Vlatko Vedral\",arXiv,quant-ph,\"maria_violaris comparing coherent and incoherent models for_quantum homogenization - anna beever , maria violaris , chiara_marletto , and vlatko_vedral\"\n\"Conservation Laws Reveal the Quantumness of Gravity - Tianfeng Feng, Chiara Marletto, Vlatko Vedral\",https://arxiv.org/abs/2311.08971,,Conservation Laws and the Quantization of Gravity,\"Adopting general frameworks for quantum-classical dynamics, we analyze the\ninteraction between quantum matter and a classical gravitational field. We\npoint out that, assuming conservation of momentum or energy, and assuming that\nthe dynamics obeys Hamiltonian formalism or a particular decomposition property\nset out in the paper, the classical gravitational field cannot change the\nmomentum or energy of the quantum system, whereas the quantum gravitational\nfield can do so. Drawing upon the fundamental relationship between conservation\nlaws and the quantum properties of objects, our analysis offers new\nperspectives for the study of quantum gravity and provides a novel\ninterpretation of existing experimental observations, such as free fall.\",\"Tianfeng Feng, Chiara Marletto, Vlatko Vedral\",arXiv,\"quant-ph, gr-qc\",\"tianfeng_feng conservation laws reveal the quantumness of gravity - tianfeng feng , chiara_marletto , vlatko_vedral\"\n\"Constructor Theory of Information - David Deutsch, Chiara Marletto\",https://arxiv.org/abs/1405.5563,,Constructor Theory of Information,\"We present a theory of information expressed solely in terms of which\ntransformations of physical systems are possible and which are impossible -\ni.e. in constructor-theoretic terms. Although it includes conjectured laws of\nphysics that are directly about information, independently of the details of\nparticular physical instantiations, it does not regard information as an a\npriori mathematical or logical concept, but as something whose nature and\nproperties are determined by the laws of physics alone. It does not suffer from\nthe circularity at the foundations of existing information theory (namely that\ninformation and distinguishability are each defined in terms of the other). It\nexplains the relationship between classical and quantum information, and\nreveals the single, constructor-theoretic property underlying the most\ndistinctive phenomena associated with the latter, including the lack of\nin-principle distinguishability of some states, the impossibility of cloning,\nthe existence of pairs of variables that cannot simultaneously have sharp\nvalues, the fact that measurement processes can be both deterministic and\nunpredictable, the irreducible perturbation caused by measurement, and\nentanglement (locally inaccessible information).\",\"David Deutsch, Chiara Marletto\",arXiv,quant-ph,\"constructor_theory of information - david deutsch , chiara_marletto\"\nConstructor Theory of Life - Chiara Marletto,https://arxiv.org/abs/1407.0681,,Constructor Theory of Life,\"Neo-Darwinian evolutionary theory explains how the appearance of purposive\ndesign in the sophisticated adaptations of living organisms can have come about\nwithout their intentionally being designed. The explanation relies crucially on\nthe possibility of certain physical processes: mainly, gene replication and\nnatural selection. In this paper I show that for those processes to be possible\nwithout the design of biological adaptations being encoded in the laws of\nphysics, those laws must have certain other properties. The theory of what\nthese properties are is not part of evolution theory proper, and has not been\ndeveloped, yet without it the neo-Darwinian theory does not fully achieve its\npurpose of explaining the appearance of design. To this end I apply Constructor\nTheory's new mode of explanation to provide an exact formulation of the\nappearance of design, of no-design laws, and of the logic of self-reproduction\nand natural selection, within fundamental physics. I conclude that\nself-reproduction, replication and natural selection are possible under\nno-design laws, the only non-trivial condition being that they allow digital\ninformation to be physically instantiated. This has an exact characterisation\nin the constructor theory of information. I also show that under no-design laws\nan accurate replicator requires the existence of a \"\"vehicle\"\" constituting,\ntogether with the replicator, a self-reproducer.\",Chiara Marletto,arXiv,\"physics.bio-ph, quant-ph\",constructor_theory of life -_chiara marletto\nConstructor Theory of Probability,https://arxiv.org/abs/1507.03287,Constructor Theory,Constructor Theory of Probability,\"Unitary quantum theory, having no Born Rule, is non-probabilistic. Hence the\nnotorious problem of reconciling it with the unpredictability and appearance of\nstochasticity in quantum measurements. Generalising and improving upon the\nso-called 'decision-theoretic approach' (Deutsch, 1999; Wallace, 2003, 2007,\n2012), I shall recast that problem in the recently proposed constructor theory\nof information - where quantum theory is represented as one of a class of\nsuperinformation theories, which are local, non-probabilistic theories\nconforming to certain constructor-theoretic conditions. I prove that the\nunpredictability of measurement outcomes (to which I give an exact meaning via\nconstructor theory), necessarily arises in superinformation theories. Then I\nexplain how the appearance of stochasticity in (finitely many) repeated\nmeasurements can arise under superinformation theories. And I establish\nsufficient conditions for a superinformation theory to inform decisions (made\nunder it) as if it were probabilistic, via a Deutsch-Wallace-type argument -\nthus defining a class of decision-supporting superinformation theories. This\nbroadens the domain of applicability of that argument to cover\nconstructor-theory compliant theories. In addition, in this version some of the\nargument's assumptions, previously construed as merely decision-theoretic,\nfollow from physical properties expressed by constructor-theoretic principles.\",Chiara Marletto,arXiv,quant-ph,constructor_theory of probability\nConstructor Theory of Thermodynamics - Chiara Marletto,https://arxiv.org/abs/1608.02625,,Constructor Theory of Thermodynamics,\"All current formulations of thermodynamics invoke some form of\ncoarse-graining or ensembles as the supposed link between their own laws and\nthe microscopic laws of motion. They deal only with ensemble-averages,\nexpectation values, macroscopic limits, infinite heat baths, etc., not with the\ndetails of physical variables of individual microscopic systems. They are\nconsistent with the laws of motion for finite systems only in certain\napproximations, which improve with increasing scale, given various assumptions\nabout initial conditions which are neither specified precisely nor even thought\nto hold exactly in nature. Here I propose a new formulation of the zeroth,\nfirst and second laws, improving upon the axiomatic approach to thermodynamics\n(Carath\\'eodory, 1909; Lieb & Yngvason, 1999), via the principles of the\nrecently proposed constructor theory. Specifically, I provide a\nnon-approximative, scale-independent formulation of 'adiabatic accessibility';\nthis in turn provides a non-approximative, scale-independent distinction\nbetween work and heat and reveals an unexpected connection between information\ntheory and the first law of thermodynamics (not just the second). It also\nachieves the long-sought unification of the axiomatic approach with Kelvin's.\",Chiara Marletto,arXiv,physics.class-ph,constructor_theory of thermodynamics -_chiara marletto\nContinued Fractions and Probability Estimations in Shor’s Algorithm: A Detailed and Self-Contained Treatise -Johanna Barzen and Frank Leymann,https://arxiv.org/abs/2205.01925,,\"Continued Fractions and Probability Estimations in the Shor Algorithm --\n  A Detailed and Self-Contained Treatise\",\"The algorithm of Shor for prime factorization is a hybrid algorithm\nconsisting of a quantum part and a classical part. The main focus of the\nclassical part is a continued fraction analysis. The presentation of this is\noften short, pointing to text books on number theory. In this contribution, we\npresent the relevant results and proofs from the theory of continued fractions\nin detail (even in more detail than in text books) filling the gap to allow a\ncomplete comprehension of the algorithm of Shor. Similarly, we provide a\ndetailed computation of the estimation of the probability that convergents will\nprovide the period required for determining a prime factor.\",\"Johanna Barzen, Frank Leymann\",arXiv,\"math.HO, math.NT, quant-ph\",frank_leymann continued fractions and probability estimations in shor ’s algorithm : a detailed and self - contained treatise -johanna barzen and frank leymann\n\"Quantum Data Center: Theories and Applications - Junyu Liu, Connor T. Hann, and Liang Jiang1\",https://arxiv.org/abs/2207.14336,,Data centers with quantum random access memory and quantum networks,\"In this paper, we propose the Quantum Data Center (QDC), an architecture\ncombining Quantum Random Access Memory (QRAM) and quantum networks. We give a\nprecise definition of QDC, and discuss its possible realizations and\nextensions. We discuss applications of QDC in quantum computation, quantum\ncommunication, and quantum sensing, with a primary focus on QDC for $T$-gate\nresources, QDC for multi-party private quantum communication, and QDC for\ndistributed sensing through data compression. We show that QDC will provide\nefficient, private, and fast services as a future version of data centers.\",\"Junyu Liu, Connor T. Hann, Liang Jiang\",arXiv,\"quant-ph, cs.DC, cs.LG\",\"quantum_data junyu_liu connor_t._hann liang_jiang1 quantum data center : theories and applications - junyu liu , connor t. hann , and liang jiang1\"\nDeep Learning with Coherent Nanophotonic Circuits - Yichen Shen,https://arxiv.org/pdf/1610.02365.pdf,,Deep Learning with Coherent Nanophotonic Circuits,\"Artificial Neural Networks are computational network models inspired by\nsignal processing in the brain. These models have dramatically improved the\nperformance of many learning tasks, including speech and object recognition.\nHowever, today's computing hardware is inefficient at implementing neural\nnetworks, in large part because much of it was designed for von Neumann\ncomputing schemes. Significant effort has been made to develop electronic\narchitectures tuned to implement artificial neural networks that improve upon\nboth computational speed and energy efficiency. Here, we propose a new\narchitecture for a fully-optical neural network that, using unique advantages\nof optics, promises a computational speed enhancement of at least two orders of\nmagnitude over the state-of-the-art and three orders of magnitude in power\nefficiency for conventional learning tasks. We experimentally demonstrate\nessential parts of our architecture using a programmable nanophotonic\nprocessor.\",\"Yichen Shen, Nicholas C. Harris, Scott Skirlo, Mihika Prabhu, Tom Baehr-Jones, Michael Hochberg, Xin Sun, Shijie Zhao, Hugo Larochelle, Dirk Englund, Marin Soljacic\",arXiv,\"physics.optics, physics.comp-ph\",deep learning with coherent nanophotonic circuits - yichen shen\nDesigning a Quantum Network Protocol,https://arxiv.org/abs/2010.02575,Quantum Protocol Design,Designing a Quantum Network Protocol,\"The second quantum revolution brings with it the promise of a quantum\ninternet. As the first quantum network hardware prototypes near completion new\nchallenges emerge. A functional network is more than just the physical\nhardware, yet work on scalable quantum network systems is in its infancy. In\nthis paper we present a quantum network protocol designed to enable end-to-end\nquantum communication in the face of the new fundamental and technical\nchallenges brought by quantum mechanics. We develop a quantum data plane\nprotocol that enables end-to-end quantum communication and can serve as a\nbuilding block for more complex services. One of the key challenges in\nnear-term quantum technology is decoherence -- the gradual decay of quantum\ninformation -- which imposes extremely stringent limits on storage times. Our\nprotocol is designed to be efficient in the face of short quantum memory\nlifetimes. We demonstrate this using a simulator for quantum networks and show\nthat the protocol is able to deliver its service even in the face of\nsignificant losses due to decoherence. Finally, we conclude by showing that the\nprotocol remains functional on the extremely resource limited hardware that is\nbeing developed today underlining the timeliness of this work.\",\"Wojciech Kozlowski, Axel Dahlberg, Stephanie Wehner\",arXiv,\"cs.NI, quant-ph\",designing a quantum network protocol\nDisentangling Hype from Practicality: On Realistically Achieving Quantum Advantage,https://arxiv.org/pdf/2307.00523.pdf,Quantum Markets and Hype,\"Disentangling Hype from Practicality: On Realistically Achieving Quantum\n  Advantage\",\"Quantum computers offer a new paradigm of computing with the potential to\nvastly outperform any imagineable classical computer. This has caused a gold\nrush towards new quantum algorithms and hardware. In light of the growing\nexpectations and hype surrounding quantum computing we ask the question which\nare the promising applications to realize quantum advantage. We argue that\nsmall data problems and quantum algorithms with super-quadratic speedups are\nessential to make quantum computers useful in practice. With these guidelines\none can separate promising applications for quantum computing from those where\nclassical solutions should be pursued. While most of the proposed quantum\nalgorithms and applications do not achieve the necessary speedups to be\nconsidered practical, we already see a huge potential in material science and\nchemistry. We expect further applications to be developed based on our\nguidelines.\",\"Torsten Hoefler, Thomas Haener, Matthias Troyer\",arXiv,\"quant-ph, cs.DS, cs.PF, physics.pop-ph\",disentangling hype from practicality : on realistically achieving quantum advantage\n\"Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing - M. Cerezo et. al.\",https://arxiv.org/pdf/2312.09121.pdf,,\"Does provable absence of barren plateaus imply classical simulability?\n  Or, why we need to rethink variational quantum computing\",\"A large amount of effort has recently been put into understanding the barren\nplateau phenomenon. In this perspective article, we face the increasingly loud\nelephant in the room and ask a question that has been hinted at by many but not\nexplicitly addressed: Can the structure that allows one to avoid barren\nplateaus also be leveraged to efficiently simulate the loss classically? We\npresent strong evidence that commonly used models with provable absence of\nbarren plateaus are also classically simulable, provided that one can collect\nsome classical data from quantum devices during an initial data acquisition\nphase. This follows from the observation that barren plateaus result from a\ncurse of dimensionality, and that current approaches for solving them end up\nencoding the problem into some small, classically simulable, subspaces. Thus,\nwhile stressing quantum computers can be essential for collecting data, our\nanalysis sheds serious doubt on the non-classicality of the information\nprocessing capabilities of parametrized quantum circuits for barren\nplateau-free landscapes. We end by discussing caveats in our arguments, the\nrole of smart initializations and the possibility of provably superpolynomial,\nor simply practical, advantages from running parametrized quantum circuits.\",\"M. Cerezo, Martin Larocca, Diego García-Martín, N. L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschuetz, Zoë Holmes\",arXiv,\"quant-ph, cs.LG, stat.ML\",\"does provable absence of barren plateaus imply classical simulability ? or , why we need to rethink variational quantum_computing - m. cerezo et._al .\"\nEfficient parametric frequency conversion in lithium niobate nanophotonic chips,https://arxiv.org/abs/1903.08722,Quantum Photonics,\"Efficient parametric frequency conversions in lithium niobate\n  nanophotonic chips\",\"Chip-integrated nonlinear photonics holds the key for advanced optical\ninformation processing with superior performance and novel functionalities.\nHere, we present an optimally mode-matched, periodically poled lithium niobate\nnanowaveguide for efficient parametric frequency conversions on chip. Using a\n4-mm nanowaveguide with subwavelength mode confinement, we demonstrate second\nharmonic generation with efficiency over $2200\\%~W^{-1}cm^{-2}$, and broadband\ndifference frequency generation with similar efficiency over a 4.5-THz spectral\nspan. These allow us to generate correlated photon pairs over multiple\nfrequency channels via spontaneous parametric down conversion, all in their\nfundamental spatial modes, with a coincidence to accidental ratio as high as\n600. The high efficiency and dense integrability of the present chip devices\nmay pave a viable route to scalable nonlinear applications in both classical\nand quantum domains.\",\"Jia-yang Chen, Yong Meng Sua, Zhao-hui Ma, Chao Tang, Zhan Li, Yu-ping Huang\",arXiv,\"quant-ph, physics.optics\",efficient parametric frequency conversion in lithium_niobate nanophotonic chips\nElectrical Tuning of Neutral and Charged Excitons with 1-nm Gate,https://arxiv.org/pdf/2310.19895.pdf,Silicon Based Technologies,Electrical Tuning of Neutral and Charged Excitons with 1-nm Gate,\"Electrical control of individual spins and photons in solids is key for\nquantum technologies, but scaling down to small, static systems remains\nchallenging. Here, we demonstrate nanoscale electrical tuning of neutral and\ncharged excitons in monolayer WSe2 using 1-nm carbon nanotube gates.\nElectrostatic simulations reveal a confinement radius below 15 nm, reaching the\nexciton Bohr radius limit for few-layer dielectric spacing. In situ\nphotoluminescence spectroscopy shows gate-controlled conversion between neutral\nexcitons, negatively charged trions, and biexcitons at 4 K. Important for\nquantum information processing applications, our measurements indicate gating\nof a local 2D electron gas in the WSe2 layer, coupled to photons via trion\ntransitions with binding energies exceeding 20 meV. The ability to\ndeterministically tune and address quantum emitters using nanoscale gates\nprovides a pathway towards large-scale quantum optoelectronic circuits and\nspin-photon interfaces for quantum networking.\",\"Jawaher Almutlaq, Jiangtao Wang, Linsen Li, Chao Li, Tong Dang, Vladimir Bulović, Jing Kong, Dirk Englund\",arXiv,\"cond-mat.mes-hall, physics.optics\",electrical tuning of neutral and charged excitons with - nm gate\nElementary gates for quantum computation,https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457,Quantum Circuits,Elementary gates for quantum computation,Unknown,\"Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, Norman Margolus, Peter Shor, Tycho Sleator, John A. Smolin, Harald Weinfurter\",Physical Review A,,elementary gates for_quantum computation\n\"Elementary gates for quantum computation - Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, ...\",https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.3457?cm_mc_uid=43781767191014577577895&cm_mc_sid_50200000=1460741020,,Elementary gates for quantum computation,Unknown,\"Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, Norman Margolus, Peter Shor, Tycho Sleator, John A. Smolin, Harald Weinfurter\",Physical Review A,,\"charles_h._bennett richard_cleve david_p._divincenzo elementary gates for_quantum computation - adriano barenco , charles h. bennett , richard cleve , david p. divincenzo , ...\"\n\"Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of Noisy Quantum Signal Processing - Andrew K. Tan, Yuan Liu, Minh C. Tran, Isaac L. Chuang\",https://arxiv.org/pdf/2301.08542.pdf,,\"Error Correction of Quantum Algorithms: Arbitrarily Accurate Recovery Of\n  Noisy Quantum Signal Processing\",\"The intrinsic probabilistic nature of quantum systems makes error correction\nor mitigation indispensable for quantum computation. While current\nerror-correcting strategies focus on correcting errors in quantum states or\nquantum gates, these fine-grained error-correction methods can incur\nsignificant overhead for quantum algorithms of increasing complexity. We\npresent a first step in achieving error correction at the level of quantum\nalgorithms by combining a unified perspective on modern quantum algorithms via\nquantum signal processing (QSP). An error model of under- or over-rotation of\nthe signal processing operator parameterized by $\\epsilon < 1$ is introduced.\nIt is shown that while Pauli $Z$-errors are not recoverable without additional\nresources, Pauli $X$ and $Y$ errors can be arbitrarily suppressed by coherently\nappending a noisy `recovery QSP.' Furthermore, it is found that a recovery QSP\nof length $O(2^k c^{k^2} d)$ is sufficient to correct any length-$d$ QSP with\n$c$ unique phases to $k^{th}$-order in error $\\epsilon$. Allowing an additional\nassumption, a lower bound of $\\Omega(cd)$ is shown, which is tight for $k = 1$,\non the length of the recovery sequence. Our algorithmic-level error correction\nmethod is applied to Grover's fixed-point search algorithm as a demonstration.\",\"Andrew K. Tan, Yuan Liu, Minh C. Tran, Isaac L. Chuang\",arXiv,quant-ph,\"yuan_liu c._tran isaac_l._chuang error_correction of_quantum algorithms : arbitrarily accurate recovery of noisy quantum signal processing -_andrew k. tan , yuan liu , minh c. tran , isaac l. chuang\"\nExperimental Estimation of Quantum State Properties from Classical Shadows,https://arxiv.org/abs/2008.05234,Measurement & State Estimation,\"Experimental Estimation of Quantum State Properties from Classical\n  Shadows\",\"Full quantum tomography of high-dimensional quantum systems is experimentally\ninfeasible due to the exponential scaling of the number of required\nmeasurements on the number of qubits in the system. However, several ideas were\nproposed recently for predicting the limited number of features for these\nstates, or estimating the expectation values of operators, without the need for\nfull state reconstruction. These ideas go under the general name of shadow\ntomography. Here we provide an experimental demonstration of property\nestimation based on classical shadows proposed in [H.-Y. Huang, R. Kueng, J.\nPreskill. Nat. Phys. https://doi.org/10.1038/s41567-020-0932-7 (2020)] and\nstudy its performance in the quantum optical experiment with high-dimensional\nspatial states of photons. We show on experimental data how this procedure\noutperforms conventional state reconstruction in fidelity estimation from a\nlimited number of measurements.\",\"G. I. Struchalin, Ya. A. Zagorovskii, E. V. Kovlakov, S. S. Straupe, S. P. Kulik\",arXiv,quant-ph,experimental estimation of_quantum state properties from classical shadows\nExperimental demonstration of memory-enhanced quantum communication,https://arxiv.org/abs/1909.01323,Quantum Photonics,Experimental demonstration of memory-enhanced quantum communication,\"The ability to communicate quantum information over long distances is of\ncentral importance in quantum science and engineering. For example, it enables\nsecure quantum key distribution (QKD) relying on fundamental principles that\nprohibit the \"\"cloning\"\" of unknown quantum states. While QKD is being\nsuccessfully deployed, its range is currently limited by photon losses and\ncannot be extended using straightforward measure-and-repeat strategies without\ncompromising its unconditional security. Alternatively, quantum repeaters,\nwhich utilize intermediate quantum memory nodes and error correction\ntechniques, can extend the range of quantum channels. However, their\nimplementation remains an outstanding challenge, requiring a combination of\nefficient and high-fidelity quantum memories, gate operations, and\nmeasurements. Here we report the experimental realization of memory-enhanced\nquantum communication. We use a single solid-state spin memory integrated in a\nnanophotonic diamond resonator to implement asynchronous Bell-state\nmeasurements. This enables a four-fold increase in the secret key rate of\nmeasurement device independent (MDI)-QKD over the loss-equivalent\ndirect-transmission method while operating megahertz clock rates. Our results\nrepresent a significant step towards practical quantum repeaters and\nlarge-scale quantum networks.\",\"Mihir K. Bhaskar, Ralf Riedinger, Bartholomeus Machielse, David S. Levonian, Christian T. Nguyen, Erik N. Knall, Hongkun Park, Dirk Englund, Marko Lončar, Denis D. Sukachev, Mikhail D. Lukin\",arXiv,quant-ph,experimental demonstration of memory - enhanced quantum_communication\n\"Exponential speedups for quantum walks in random hierarchical graphs - Shankar Balasubramanian, Tongyang Li, and Aram Harrow\",https://arxiv.org/abs/2307.15062,,Exponential speedups for quantum walks in random hierarchical graphs,\"There are few known exponential speedups for quantum algorithms and these\ntend to fall into even fewer families. One speedup that has mostly resisted\ngeneralization is the use of quantum walks to traverse the welded-tree graph,\ndue to Childs, Cleve, Deotto, Farhi, Gutmann, and Spielman. We show how to\ngeneralize this to a large class of hierarchical graphs in which the vertices\nare grouped into \"\"supervertices\"\" which are arranged according to a\n$d$-dimensional lattice. Supervertices can have different sizes, and edges\nbetween supervertices correspond to random connections between their\nconstituent vertices.\n  The hitting times of quantum walks on these graphs are related to the\nlocalization properties of zero modes in certain disordered tight binding\nHamiltonians. The speedups range from superpolynomial to exponential, depending\non the underlying dimension and the random graph model. We also provide\nconcrete realizations of these hierarchical graphs, and introduce a general\nmethod for constructing graphs with efficient quantum traversal times using\ngraph sparsification.\",\"Shankar Balasubramanian, Tongyang Li, Aram Harrow\",arXiv,\"quant-ph, cond-mat.dis-nn, cond-mat.stat-mech, cond-mat.str-el\",\"tongyang_li exponential speedups for_quantum walks in random hierarchical graphs - shankar balasubramanian , tongyang li , and aram harrow\"\nFault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by Classical Error-Correcting Codes,https://arxiv.org/abs/1605.05647,Quantum Error Correction,\"Fault-tolerant Preparation of Stabilizer States for Quantum CSS Codes by\n  Classical Error-Correcting Codes\",\"Stabilizer states are extensively studied in quantum information theory for\ntheir structures based on the Pauli group. Calderbank-Shor-Steane (CSS)\nstabilizer states are of particular importance in their application to\nfault-tolerant quantum computation (FTQC). However, how to fault-tolerantly\nprepare arbitrary CSS stabilizer states for general CSS stabilizer codes is\nstill unknown, and their preparation can be highly costly in computational\nresources. In this paper, we show how to prepare a large class of CSS\nstabilizer states useful for FTQC. We propose distillation protocols using\nsyndrome encoding by classical codes or quantum CSS codes. Along the same\nlines, we show that classical coding techniques can reduce the ancilla\nconsumption in Steane syndrome extraction by using additional transversal\ncontrolled-NOT gates and classical computing power. In the scenario of a fixed\nancilla consumption rate, we can increase the frequency of quantum error\ncorrection and effectively lower the error rate.\",\"Ching-Yi Lai, Yi-Cong Zheng, Todd A. Brun\",arXiv,quant-ph,fault - tolerant preparation of stabilizer states for_quantum css codes by classical error - correcting codes\nField-Deployable Quantum Memory for Quantum Networking,https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.18.044058,Quantum Memories,Field-Deployable Quantum Memory for Quantum Networking,Unknown,\"Yang Wang, Alexander N. Craddock, Rourke Sekelsky, Mael Flament, Mehdi Namazi\",Physical Review Applied,,field - deployable quantum memory for_quantum networking\nFive open problems in theory of quantum information,https://arxiv.org/abs/2002.03233,Quantum Information Theory,Five open problems in quantum information,\"We identify five selected open problems in the theory of quantum information,\nwhich are rather simple to formulate, were well-studied in the literature, but\nare technically not easy. As these problems enjoy diverse mathematical\nconnections, they offer a huge breakthrough potential. The first four concern\nexistence of certain objects relevant for quantum information, namely a family\nof symmetric informationally complete generalized measurements in an infinite\nsequence of dimensions, mutually unbiased bases in dimension six, absolutely\nmaximally entangled states for four subsystems with six levels each and bound\nentangled states with negative partial transpose. The fifth problem requires\nchecking whether a certain state of a two-ququart system is 2-copy distillable.\nAn award for solving each of them is announced.\",\"Paweł Horodecki, Łukasz Rudnicki, Karol Życzkowski\",arXiv,quant-ph,open problems in theory_of quantum_information\nFoundations for Near-Term Quantum Natural Language Processing,https://arxiv.org/abs/2012.03755,Natural Language Processing & Quantum Computing,Foundations for Near-Term Quantum Natural Language Processing,\"We provide conceptual and mathematical foundations for near-term quantum\nnatural language processing (QNLP), and do so in quantum computer scientist\nfriendly terms. We opted for an expository presentation style, and provide\nreferences for supporting empirical evidence and formal statements concerning\nmathematical generality.\n  We recall how the quantum model for natural language that we employ\ncanonically combines linguistic meanings with rich linguistic structure, most\nnotably grammar. In particular, the fact that it takes a quantum-like model to\ncombine meaning and structure, establishes QNLP as quantum-native, on par with\nsimulation of quantum systems. Moreover, the now leading Noisy\nIntermediate-Scale Quantum (NISQ) paradigm for encoding classical data on\nquantum hardware, variational quantum circuits, makes NISQ exceptionally\nQNLP-friendly: linguistic structure can be encoded as a free lunch, in contrast\nto the apparently exponentially expensive classical encoding of grammar.\n  Quantum speed-up for QNLP tasks has already been established in previous work\nwith Will Zeng. Here we provide a broader range of tasks which all enjoy the\nsame advantage.\n  Diagrammatic reasoning is at the heart of QNLP. Firstly, the quantum model\ninterprets language as quantum processes via the diagrammatic formalism of\ncategorical quantum mechanics. Secondly, these diagrams are via ZX-calculus\ntranslated into quantum circuits. Parameterisations of meanings then become the\ncircuit variables to be learned.\n  Our encoding of linguistic structure within quantum circuits also embodies a\nnovel approach for establishing word-meanings that goes beyond the current\nstandards in mainstream AI, by placing linguistic structure at the heart of\nWittgenstein's meaning-is-context.\",\"Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi\",arXiv,\"quant-ph, cs.CL\",foundations for near - term quantum natural language processing\nFundamental Principle of Information-to-Energy Conversion - Antonio Alfonso-Faus,https://arxiv.org/abs/1401.6052,,Fundamental Principle of Information-to-Energy Conversion,\"The equivalence of 1 bit of information to entropy was given by Landauer in\n1961 as kln2, k the Boltzmann constant. Erasing information implies heat\ndissipation and the energy of 1 bit would then be (the Landauers limit) kT ln\n2, T being the ambient temperature. From a quantum-cosmological point of view\nthe minimum quantum of energy in the universe corresponds today to a\ntemperature of 10^(-29) degrees K, probably forming a cosmic background of a\nBose condensate [1]. Then, the bit with minimum energy today in the Universe is\na quantum of energy 10^(-45)ergs, with an equivalent mass of 10^(-66)g. Low\ntemperature implies low energy per bit and, of course, this is the way for\nfaster and less energy dissipating computing devices. Our conjecture is this:\nthe possibility of a future access to the CBBC (a coupling/channeling?) would\nmean a huge jump in the performance of these devices.\",Antonio Alfonso-Faus,arXiv,physics.gen-ph,fundamental principle of information - to - energy conversion - antonio alfonso - faus\nFusion-based quantum computation,https://arxiv.org/abs/2101.09310,Quantum Photonics,Fusion-based quantum computation,\"We introduce fusion-based quantum computing (FBQC) - a model of universal\nquantum computation in which entangling measurements, called fusions, are\nperformed on the qubits of small constant-sized entangled resource states. We\nintroduce a stabilizer formalism for analyzing fault tolerance and computation\nin these schemes. This framework naturally captures the error structure that\narises in certain physical systems for quantum computing, such as photonics.\nFBQC can offer significant architectural simplifications, enabling hardware\nmade up of many identical modules, requiring an extremely low depth of\noperations on each physical qubit and reducing classical processing\nrequirements. We present two pedagogical examples of fault-tolerant schemes\nconstructed in this framework and numerically evaluate their threshold under a\nhardware agnostic fusion error model including both erasure and Pauli error. We\nalso study an error model of linear optical quantum computing with\nprobabilistic fusion and photon loss. In FBQC the non-determinism of fusion is\ndirectly dealt with by the quantum error correction protocol, along with other\nerrors. We find that tailoring the fault-tolerance framework to the physical\nsystem allows the scheme to have a higher threshold than schemes reported in\nliterature. We present a ballistic scheme which can tolerate a 10.4%\nprobability of suffering photon loss in each fusion.\",\"Sara Bartolucci, Patrick Birchall, Hector Bombin, Hugo Cable, Chris Dawson, Mercedes Gimeno-Segovia, Eric Johnston, Konrad Kieling, Naomi Nickerson, Mihir Pant, Fernando Pastawski, Terry Rudolph, Chris Sparrow\",arXiv,quant-ph,fusion - based quantum_computation\nGate Set Tomography,https://arxiv.org/abs/2009.07301,Programmable Quantum Gates,Gate Set Tomography,\"Gate set tomography (GST) is a protocol for detailed, predictive\ncharacterization of logic operations (gates) on quantum computing processors.\nEarly versions of GST emerged around 2012-13, and since then it has been\nrefined, demonstrated, and used in a large number of experiments. This paper\npresents the foundations of GST in comprehensive detail. The most important\nfeature of GST, compared to older state and process tomography protocols, is\nthat it is calibration-free. GST does not rely on pre-calibrated state\npreparations and measurements. Instead, it characterizes all the operations in\na gate set simultaneously and self-consistently, relative to each other. Long\nsequence GST can estimate gates with very high precision and efficiency,\nachieving Heisenberg scaling in regimes of practical interest. In this paper,\nwe cover GST's intellectual history, the techniques and experiments used to\nachieve its intended purpose, data analysis, gauge freedom and fixing, error\nbars, and the interpretation of gauge-fixed estimates of gate sets. Our focus\nis fundamental mathematical aspects of GST, rather than implementation details,\nbut we touch on some of the foundational algorithmic tricks used in the pyGSTi\nimplementation.\",\"Erik Nielsen, John King Gamble, Kenneth Rudinger, Travis Scholten, Kevin Young, Robin Blume-Kohout\",arXiv,quant-ph,gate set tomography\n\"High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides - Jie Zhao, Chaoxuan Ma, Michael Rüsing, and Shayan Mookherjea\",https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.163603,,High Quality Entangled Photon Pair Generation in Periodically Poled Thin-Film Lithium Niobate Waveguides,Unknown,\"Jie Zhao, Chaoxuan Ma, Michael Rüsing, Shayan Mookherjea\",Physical Review Letters,,\"chaoxuan_ma michael_rüsing shayan_mookherjea high quality entangled photon pair generation in periodically poled thin - film lithium_niobate waveguides - jie zhao , chaoxuan ma , michael rüsing , and shayan mookherjea\"\nImplementation of multidimensional quantum walks using linear optics and classical light,https://journals.aps.org/pra/abstract/10.1103/PhysRevA.92.040302,Experimental Simulating Tools,Implementation of multidimensional quantum walks using linear optics and classical light,Unknown,\"Sandeep K. Goyal, Filippus S. Roux, Andrew Forbes, Thomas Konrad\",Physical Review A,,linear implementation of multidimensional quantum_walks using optics and classical light\n\"Interference in Quantum Field Theory: Detecting Ghosts with Phases - Chiara Marletto, Vlatko Vedral\",https://onlinelibrary.wiley.com/doi/full/10.1002/andp.202200530,,Interference in Quantum Field Theory: Detecting Ghosts with Phases,\"AbstractThis study discusses the implications of the principle of locality for interference in quantum field theory. As an example, it considers the interaction of two charges via a mediating quantum field and the resulting interference pattern in the Lorenz gauge. Using the Heisenberg picture, it is proposed that detecting relative phases or entanglement between two charges in an interference experiment is equivalent to accessing empirically the gauge degrees of freedom associated with the so‐called ghost (scalar) modes of the field in the Lorenz gauge. These results imply that ghost modes are measurable and hence physically relevant, contrary to what is usually thought. They also raise interesting questions about the relation between the principle of locality and the principle of gauge‐invariance. This analysis also applies to linearized quantum gravity in the harmonic gauge, and hence has implications for the recently proposed entanglement‐based witnesses of non‐classicality in gravity.\",\"Chiara Marletto, Vlatko Vedral\",Annalen der Physik,,\"interference_in_quantum_field interference in_quantum field theory : detecting ghosts with phases -_chiara marletto , vlatko_vedral\"\nIs quantum computing green? An estimate for an energy-efficiency quantum advantage,https://arxiv.org/pdf/2205.12092.pdf,Quantum Markets and Hype,\"Is quantum computing green? An estimate for an energy-efficiency quantum\n  advantage\",\"The quantum advantage threshold determines when a quantum processing unit\n(QPU) is more efficient with respect to classical computing hardware in terms\nof algorithmic complexity. The \"\"green\"\" quantum advantage threshold $-$ based on\na comparison of energetic efficiency between the two $-$ is going to play a\nfundamental role in the comparison between quantum and classical hardware.\nIndeed, its characterization would enable better decisions on energy-saving\nstrategies, e.g. for distributing the workload in hybrid quantum-classical\nalgorithms. Here, we show that the green quantum advantage threshold crucially\ndepends on (i) the quality of the experimental quantum gates and (ii) the\nentanglement generated in the QPU. Indeed, for NISQ hardware and algorithms\nrequiring a moderate amount of entanglement, a classical tensor network\nemulation can be more energy-efficient at equal final state fidelity than\nquantum computation. We compute the green quantum advantage threshold for a few\nparadigmatic examples in terms of algorithms and hardware platforms, and\nidentify algorithms with a power-law decay of singular values of bipartitions\n$-$ with power-law exponent $\\alpha \\lesssim 1$ $-$ as the green quantum\nadvantage threshold in the near future.\",\"Daniel Jaschke, Simone Montangero\",arXiv,quant-ph,is quantum_computing green ? an estimate for an energy - efficiency quantum advantage\n\"Large-scale optical characterization of solid-state quantum emitters - Madison Sutula, et. al.\",https://arxiv.org/pdf/2210.13643.pdf,,Large-scale optical characterization of solid-state quantum emitters,\"Solid-state quantum emitters have emerged as a leading quantum memory for\nquantum networking applications. However, standard optical characterization\ntechniques are neither efficient nor repeatable at scale. In this work, we\nintroduce and demonstrate spectroscopic techniques that enable large-scale,\nautomated characterization of color centers. We first demonstrate the ability\nto track color centers by registering them to a fabricated machine-readable\nglobal coordinate system, enabling systematic comparison of the same color\ncenter sites over many experiments. We then implement resonant\nphotoluminescence excitation in a widefield cryogenic microscope to parallelize\nresonant spectroscopy, achieving two orders of magnitude speed-up over confocal\nmicroscopy. Finally, we demonstrate automated chip-scale characterization of\ncolor centers and devices at room temperature, imaging thousands of microscope\nfields of view. These tools will enable accelerated identification of useful\nquantum emitters at chip-scale, enabling advances in scaling up color center\nplatforms for quantum information applications, materials science, and device\ndesign and characterization.\",\"Madison Sutula, Ian Christen, Eric Bersin, Michael P. Walsh, Kevin C. Chen, Justin Mallek, Alexander Melville, Michael Titze, Edward S. Bielejec, Scott Hamilton, Danielle Braje, P. Benjamin Dixon, Dirk R. Englund\",arXiv,\"quant-ph, cond-mat.mtrl-sci, physics.optics\",\"large - scale optical characterization of solid - state quantum emitters - madison sutula , et._al .\"\nLocality in the Schrodinger Picture of Quantum Mechanics - Vlatko Vedral,https://arxiv.org/pdf/2312.04701.pdf,,Locality in the Schroedinger Picture of Quantum Mechanics,\"We explain how the so-called Einstein locality is to be understood in the\nSchr\\\"\"odinger picture of quantum mechanics. This notion is perfectly compatible\nwith the Bell non-locality exhibited by entangled states. Contrary to some\nbeliefs that quantum mechanics is incomplete, it is, in fact, its\novercompleteness as exemplified by different pictures of quantum physics, that\npoints to the same underlying reality.\",Vlatko Vedral,arXiv,quant-ph,locality in the schrodinger picture of_quantum mechanics - vlatko_vedral\nMicrowave Quantum Memristors,https://arxiv.org/abs/2311.06925,Novel Quantum Devices,Microwave Quantum Memcapacitor Effect,\"Developing the field of neuromorphic quantum computing necessitates designing\nscalable quantum memory devices. Here, we propose a superconducting quantum\nmemory device in the microwave regime, termed as a microwave quantum\nmemcapacitor. It comprises two linked resonators, the primary one is coupled to\na Superconducting Quantum Interference Device, which allows for the modulation\nof the resonator properties through external magnetic flux. The auxiliary\nresonator, operated through weak measurements, provides feedback to the primary\nresonator, ensuring stable memory behaviour. This device operates with a\nclassical input in one cavity while reading the response in the other, serving\nas a fundamental building block toward arrays of microwave quantum\nmemcapacitors. We observe that a bipartite setup can retain its memory\nbehaviour and gains entanglement and quantum correlations. Our findings pave\nthe way for the experimental implementation of memcapacitive superconducting\nquantum devices and memory device arrays for neuromorphic quantum computing.\",\"X. -Y. Qiu, S. Kumar, F. A. Cárdenas-López, G. Alvarado Barrios, E. Solano, F. Albarrán-Arriagada\",arXiv,\"quant-ph, cond-mat.supr-con\",microwave quantum memristors\nMitigating the quantum hype - Olivier Ezratty,https://arxiv.org/abs/2202.01925,,Mitigating the quantum hype,\"We are in the midst of quantum hype with some excessive claims of quantum\ncomputing potential, many vendors' and even some research organizations'\nexaggerations, and a funding frenzy for very low technology readiness level\nstartups. Governments are contributing to this hype with their large quantum\ninitiatives and their technology sovereignty aspirations. Technology hypes are\nnot bad per se since they create emulation, drive innovations and also\ncontribute to attracting new talents. It works as scientists and vendors\ndeliver progress and innovation on a continuous basis after a so-called peak of\nexpectations. It fails with exaggerated overpromises and underdeliveries that\nlast too long. It could cut short research and innovation funding, creating\nsome sort of quantum winter. After looking at the shape and form of technology\nand science hypes and driving some lessons from past hypes, we investigate the\ncurrent quantum hype and its specifics. We find that, although there is some\nsignificant uncertainty on the potential to create real scalable quantum\ncomputers, the scientific and vendor fields are relatively sane and solid\ncompared to other technology hypes. The vendors hype has some profound and\ndisruptive impact on the organization of fundamental research. Also, quantum\ntechnologies comprise other fields like quantum telecommunications and quantum\nsensing with a higher technology readiness level, which are less prone to hype.\nWe then make some proposals to mitigate the potential negative effects of the\ncurrent quantum hype including recommendations on scientific communication to\nstrengthen the trust in quantum science, vendor behavior improvements,\nbenchmarking methodologies, public education and putting in place a responsible\nresearch and innovation approach.\",Olivier Ezratty,arXiv,\"physics.soc-ph, physics.hist-ph, quant-ph\",mitigating the quantum hype - olivier ezratty\n\"Mitiq: A software package for error mitigation on noisy quantum computers - Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, ...\",https://arxiv.org/abs/2009.04417,,\"Mitiq: A software package for error mitigation on noisy quantum\n  computers\",\"We introduce Mitiq, a Python package for error mitigation on noisy quantum\ncomputers. Error mitigation techniques can reduce the impact of noise on\nnear-term quantum computers with minimal overhead in quantum resources by\nrelying on a mixture of quantum sampling and classical post-processing\ntechniques. Mitiq is an extensible toolkit of different error mitigation\nmethods, including zero-noise extrapolation, probabilistic error cancellation,\nand Clifford data regression. The library is designed to be compatible with\ngeneric backends and interfaces with different quantum software frameworks. We\ndescribe Mitiq using code snippets to demonstrate usage and discuss features\nand contribution guidelines. We present several examples demonstrating error\nmitigation on IBM and Rigetti superconducting quantum processors as well as on\nnoisy simulators.\",\"Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, Piotr Czarnik, Mohamed El Mandouh, Max H. Gordon, Yousef Hindy, Aaron Robertson, Purva Thakre, Misty Wahl, Danny Samuel, Rahul Mistri, Maxime Tremblay, Nick Gardner, Nathaniel T. Stemen, Nathan Shammah, William J. Zeng\",arXiv,\"quant-ph, cs.ET\",\"andrea_mari sarah_kaiser peter_j._karalekas andre_a._alves mitiq : a software package for error mitigation on noisy quantum computers - ryan larose , andrea mari , sarah kaiser , peter j. karalekas , andre a. alves , ...\"\n\"Multi-state quantum simulations via model-space quantum imaginary time evolution - Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro L. Ten-no\",https://arxiv.org/abs/2206.04494,,\"Multi-state quantum simulations via model-space quantum imaginary time\n  evolution\",\"We introduce the framework of model space into quantum imaginary time\nevolution (QITE) to enable stable estimation of ground and excited states using\na quantum computer. Model-space QITE (MSQITE) propagates a model space to the\nexact one by retaining its orthogonality, and hence is able to describe\nmultiple states simultaneously. The quantum Lanczos (QLanczos) algorithm is\nextended to MSQITE to accelerate the convergence. The present scheme is found\nto outperform both the standard QLanczos and the recently proposed\nfolded-spectrum QITE in simulating excited states. Moreover, we demonstrate\nthat spin contamination can be effectively removed by shifting the imaginary\ntime propagator, and thus excited states with a particular spin quantum number\nare efficiently captured without falling into the different spin states that\nhave lower energies. We also investigate how different levels of the unitary\napproximation employed in MSQITE can affect the results. The effectiveness of\nthe algorithm over QITE is demonstrated by noise simulations for the H4 model\nsystem.\",\"Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro L. Ten-no\",arXiv,\"quant-ph, cond-mat.str-el, physics.chem-ph\",\"seiichiro_l._ten-no multi - state quantum simulations via model - space quantum imaginary time evolution - takashi tsuchimochi , yoohee ryo , siu chung tsang , seiichiro l. ten - no\"\n\"Multiplexed quantum repeaters based on dual-species trapped-ion systems - Prajit Dhara, Norbert M. Linke, Edo Waks, Saikat Guha, Kaushik P. Seshadreesan\",https://arxiv.org/abs/2105.06707,,Multiplexed quantum repeaters based on dual-species trapped-ion systems,\"Trapped ions form an advanced technology platform for quantum information\nprocessing with long qubit coherence times, high-fidelity quantum logic gates,\noptically active qubits, and a potential to scale up in size while preserving a\nhigh level of connectivity between qubits. These traits make them attractive\nnot only for quantum computing but also for quantum networking. Dedicated,\nspecial-purpose trapped-ion processors in conjunction with suitable\ninterconnecting hardware can be used to form quantum repeaters that enable\nhigh-rate quantum communications between distant trapped-ion quantum computers\nin a network. In this regard, hybrid traps with two distinct species of ions,\nwhere one ion species can generate ion-photon entanglement that is useful for\noptically interfacing with the network and the other has long memory lifetimes,\nuseful for qubit storage, have been proposed for entanglement distribution. We\nconsider an architecture for a repeater based on such dual-species trapped-ion\nsystems. We propose and analyze a protocol based on spatial and temporal mode\nmultiplexing for entanglement distribution across a line network of such\nrepeaters. Our protocol offers enhanced rates compared to rates previously\nreported for such repeaters. We determine the ion resources required at the\nrepeaters to attain the enhanced rates, and the best rates attainable when\nconstraints are placed on the number of repeaters and the number of ions per\nrepeater. Our results bolster the case for near-term trapped-ion systems as\nquantum repeaters for long-distance quantum communications.\",\"Prajit Dhara, Norbert M. Linke, Edo Waks, Saikat Guha, Kaushik P. Seshadreesan\",arXiv,quant-ph,\"norbert_m._linke edo_waks kaushik_p._seshadreesan multiplexed quantum_repeaters based on dual - species trapped - ion systems_- prajit dhara , norbert m. linke , edo waks , saikat guha , kaushik p. seshadreesan\"\n\"NetSquid, a NETwork Simulator for QUantum Information using Discrete events - Tim Coopmans, Robert Knegjens, Axel Dahlberg, David Maier, Loek Nijsten, ...\",https://arxiv.org/abs/2010.12535,,\"NetSquid, a NETwork Simulator for QUantum Information using Discrete\n  events\",\"In order to bring quantum networks into the real world, we would like to\ndetermine the requirements of quantum network protocols including the\nunderlying quantum hardware. Because detailed architecture proposals are\ngenerally too complex for mathematical analysis, it is natural to employ\nnumerical simulation. Here we introduce NetSquid, the NETwork Simulator for\nQUantum Information using Discrete events, a discrete-event based platform for\nsimulating all aspects of quantum networks and modular quantum computing\nsystems, ranging from the physical layer and its control plane up to the\napplication level. We study several use cases to showcase NetSquid's power,\nincluding detailed physical layer simulations of repeater chains based on\nnitrogen vacancy centres in diamond as well as atomic ensembles. We also study\nthe control plane of a quantum switch beyond its analytically known regime, and\nshowcase NetSquid's ability to investigate large networks by simulating\nentanglement distribution over a chain of up to one thousand nodes.\",\"Tim Coopmans, Robert Knegjens, Axel Dahlberg, David Maier, Loek Nijsten, Julio de Oliveira Filho, Martijn Papendrecht, Julian Rabbie, Filip Rozpędek, Matthew Skrzypczyk, Leon Wubben, Walter de Jong, Damian Podareanu, Ariana Torres-Knoop, David Elkouss, Stephanie Wehner\",arXiv,quant-ph,\"tim_coopmans robert_knegjens dahlberg david_maier netsquid , a network simulator for_quantum information using discrete events - tim coopmans , robert knegjens , axel , david maier , loek nijsten , ...\"\nNoisy dynamical systems evolve error correcting codes and modularity,https://arxiv.org/pdf/2303.14448.pdf,Quantum Error Mitigation,Noisy dynamical systems evolve error correcting codes and modularity,\"Noise is a ubiquitous feature of the physical world. As a result, the first\nprerequisite of life is fault tolerance: maintaining integrity of state despite\nexternal bombardment. Recent experimental advances have revealed that\nbiological systems achieve fault tolerance by implementing mathematically\nintricate error-correcting codes and by organizing in a modular fashion that\nphysically separates functionally distinct subsystems. These elaborate\nstructures represent a vanishing volume in the massive genetic configuration\nspace. How is it possible that the primitive process of evolution, by which all\nbiological systems evolved, achieved such unusual results? In this work,\nthrough experiments in Boolean networks, we show that the simultaneous presence\nof error correction and modularity in biological systems is no coincidence.\nRather, it is a typical co-occurrence in noisy dynamic systems undergoing\nevolution. From this, we deduce the principle of error correction enhanced\nevolvability: systems possessing error-correcting codes are more effectively\nimproved by evolution than those without.\",\"Trevor McCourt, Ila R. Fiete, Isaac L. Chuang\",arXiv,\"q-bio.PE, nlin.AO, q-bio.NC\",noisy_dynamical noisy dynamical systems evolve error correcting codes and modularity\n\"Observable Thermalization: Theory, Numerical and Analytical Evidence\",https://arxiv.org/pdf/2309.15173.pdf,Commercial and Philosophical Views,Observable Statistical Mechanics,\"Understanding equilibration and thermalization in isolated many-body quantum\nsystems is a central challenge in quantum physics. The traditional approach\nfocuses on the study of the full state of the quantum system which, at\nequilibrium, is best described by the Diagonal Ensemble. Here, we present\nObservable Statistical Mechanics, a novel paradigm that shifts attention from\nthe full quantum state to the statistics of measurement outcomes. This approach\nis grounded in the Maximum Observable Entropy Principle, positing that\nequilibrium measurement statistics tend to maximize observable entropy under\nconserved average energy. By focusing on accessible measurements, the theory\naccurately predicts equilibrium probability distributions without needing\ndetailed microscopic information like the energy eigenstates. Extensive\nnumerical experiments on 7 spin-1/2 Hamiltonians demonstrate the broad\napplicability and robustness of this framework.\",\"Lodovico Scarpa, Abdulla Alhajri, Vlatko Vedral, Fabio Anza\",arXiv,\"quant-ph, cond-mat.stat-mech\",\"observable thermalization : theory , numerical and analytical evidence\"\nOn Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification,https://arxiv.org/abs/2109.09484,Quantum Machine Learning (QML),\"On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing\n  Imagery Classification\",\"This article aims to investigate how circuit-based hybrid Quantum\nConvolutional Neural Networks (QCNNs) can be successfully employed as image\nclassifiers in the context of remote sensing. The hybrid QCNNs enrich the\nclassical architecture of CNNs by introducing a quantum layer within a standard\nneural network. The novel QCNN proposed in this work is applied to the Land Use\nand Land Cover (LULC) classification, chosen as an Earth Observation (EO) use\ncase, and tested on the EuroSAT dataset used as reference benchmark. The\nresults of the multiclass classification prove the effectiveness of the\npresented approach, by demonstrating that the QCNN performances are higher than\nthe classical counterparts. Moreover, investigation of various quantum circuits\nshows that the ones exploiting quantum entanglement achieve the best\nclassification scores. This study underlines the potentialities of applying\nquantum computing to an EO case study and provides the theoretical and\nexperimental background for futures investigations.\",\"Alessandro Sebastianelli, Daniela A. Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo\",arXiv,\"eess.IV, cs.CV, cs.ET, quant-ph\",on circuit - based hybrid quantum neural networks for remote sensing imagery classification\n\"One-Dimensional Quantum Walks - Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, John Watrous\",https://dl.acm.org/doi/10.1145/380752.380757,,One-dimensional quantum walks,Unknown,\"Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, John Watrous\",Proceedings of the thirty-third annual ACM symposium on Theory of computing,,\"eric_bach ashwin_nayak ashvin_vishwanath john_watrous - dimensional quantum_walks - andris ambainis , eric bach , ashwin nayak , ashvin vishwanath , john watrous\"\n\"Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction - Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen, Vladimir Rastunkov, Vanio Markov\",https://arxiv.org/abs/2303.05488,,\"Optimizing quantum noise-induced reservoir computing for nonlinear and\n  chaotic time series prediction\",\"Quantum reservoir computing is strongly emerging for sequential and time\nseries data prediction in quantum machine learning. We make advancements to the\nquantum noise-induced reservoir, in which reservoir noise is used as a resource\nto generate expressive, nonlinear signals that are efficiently learned with a\nsingle linear output layer. We address the need for quantum reservoir tuning\nwith a novel and generally applicable approach to quantum circuit\nparameterization, in which tunable noise models are programmed to the quantum\nreservoir circuit to be fully controlled for effective optimization. Our\nsystematic approach also involves reductions in quantum reservoir circuits in\nthe number of qubits and entanglement scheme complexity. We show that with only\na single noise model and small memory capacities, excellent simulation results\nwere obtained on nonlinear benchmarks that include the Mackey-Glass system for\n100 steps ahead in the challenging chaotic regime.\",\"Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen, Vladimir Rastunkov, Vanio Markov\",arXiv,quant-ph,\"amol_deshmukh samuel_yen-chi_chen vladimir_rastunkov vanio_markov optimizing quantum noise - induced reservoir computing for nonlinear and chaotic time series prediction - daniel fry , amol deshmukh , samuel yen - chi chen , vladimir rastunkov , vanio markov\"\nOption Pricing using Quantum Computers,https://arxiv.org/abs/1905.02666,Quantum Machine Learning (QML),Option Pricing using Quantum Computers,\"We present a methodology to price options and portfolios of options on a\ngate-based quantum computer using amplitude estimation, an algorithm which\nprovides a quadratic speedup compared to classical Monte Carlo methods. The\noptions that we cover include vanilla options, multi-asset options and\npath-dependent options such as barrier options. We put an emphasis on the\nimplementation of the quantum circuits required to build the input states and\noperators needed by amplitude estimation to price the different option types.\nAdditionally, we show simulation results to highlight how the circuits that we\nimplement price the different option contracts. Finally, we examine the\nperformance of option pricing circuits on quantum hardware using the IBM Q\nTokyo quantum device. We employ a simple, yet effective, error mitigation\nscheme that allows us to significantly reduce the errors arising from noisy\ntwo-qubit gates.\",\"Nikitas Stamatopoulos, Daniel J. Egger, Yue Sun, Christa Zoufal, Raban Iten, Ning Shen, Stefan Woerner\",arXiv,quant-ph,option pricing using quantum computers\nPaving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment,https://arxiv.org/abs/2202.07764,Quantum Communication & Cryptography,\"Paving the Way towards 800 Gbps Quantum-Secured Optical Channel\n  Deployment in Mission-Critical Environments\",\"This article describes experimental research studies conducted towards\nunderstanding the implementation aspects of high-capacity quantum-secured\noptical channels in mission-critical metro-scale operational environments using\nQuantum Key Distribution (QKD) technology. To the best of our knowledge, this\nis the first time that an 800 Gbps quantum-secured optical channel -- along\nwith several other Dense Wavelength Division Multiplexed (DWDM) channels on the\nC-band and multiplexed with the QKD channel on the O-band -- was established at\ndistances up to 100 km, with secret key-rates relevant for practical industry\nuse cases. In addition, during the course of these trials, transporting a\nblockchain application over this established channel was utilized as a\ndemonstration of securing a financial transaction in transit over a\nquantum-secured optical channel. The findings of this research pave the way\ntowards the deployment of QKD-secured optical channels in high-capacity,\nmetro-scale, mission-critical operational environments, such as Inter-Data\nCenter Interconnects.\",\"Marco Pistoia, Omar Amer, Monik R. Behera, Joseph A. Dolphin, James F. Dynes, Benny John, Paul A. Haigh, Yasushi Kawakura, David H. Kramer, Jeffrey Lyon, Navid Moazzami, Tulasi D. Movva, Antigoni Polychroniadou, Suresh Shetty, Greg Sysak, Farzam Toudeh-Fallah, Sudhir Upadhyay, Robert I. Woodward, Andrew J. Shields\",arXiv,\"quant-ph, cs.CR, cs.NI, physics.optics\",paving the way towards 800 gbps quantum - secured optical channel deployment\n\"Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer via parity detection - Dong Li, Bryan T. Gard, Yang Gao3, Chun-Hua Yuan1, Weiping Zhang1, Hwang Lee, Jonathan P. Dowling\",https://arxiv.org/abs/1603.09019,,\"Phase sensitivity at the Heisenberg limit in an SU(1,1) interferometer\n  via parity detection\",\"We theoretically investigate the phase sensitivity with parity detection on\nan SU(1,1) interferometer with a coherent state combined with a squeezed vacuum\nstate. This interferometer is formed with two parametric amplifiers for beam\nsplitting and recombination instead of beam splitters. We show that the\nsensitivity of estimation phase approaches Heisenberg limit and give the\ncorresponding optimal condition. Moreover, we derive the quantum Cram\\'er-Rao\nbound of the SU(1,1) interferometer.\",\"Dong Li, Bryan T. Gard, Yang Gao, Chun-Hua Yuan, Weiping Zhang, Hwang Lee, Jonathan P. Dowling\",arXiv,quant-ph,\"bryan_t._gard yang_gao3 chun-hua_yuan1 hwang_lee jonathan_p. phase sensitivity at the heisenberg limit in an su(1,1 ) interferometer via parity detection - dong li , bryan t. gard , yang gao3 , chun - hua yuan1 , weiping zhang1 , hwang lee , jonathan p. dowling\"\n\"Power of sequential protocols in hidden quantum channel discrimination - Sho Sugiura, et.al\",https://arxiv.org/pdf/2304.02053.pdf,,Power of sequential protocols in hidden quantum channel discrimination,\"In many natural and engineered systems, unknown quantum channels act on a\nsubsystem that cannot be directly controlled and measured, but is instead\nlearned through a controllable subsystem that weakly interacts with it. We\nstudy quantum channel discrimination (QCD) under these restrictions, which we\ncall hidden system QCD (HQCD). We find that sequential protocols achieve\nperfect discrimination and saturate the Heisenberg limit. In contrast, depth-1\nparallel and multi-shot protocols cannot solve HQCD. This suggests that\nsequential protocols are superior in experimentally realistic situations.\",\"Sho Sugiura, Arkopal Dutt, William J. Munro, Sina Zeytinoğlu, Isaac L. Chuang\",arXiv,quant-ph,\"power of sequential protocols in hidden quantum channel discrimination - sho sugiura , et.al\"\nPractical Benchmarking of Randomized Measurement Methods for Quantum Chemistry Hamiltonians,https://arxiv.org/pdf/2312.07497.pdf,Measurement & State Estimation,\"Practical Benchmarking of Randomized Measurement Methods for Quantum\n  Chemistry Hamiltonians\",\"Many hybrid quantum-classical algorithms for the application of ground state\nenergy estimation in quantum chemistry involve estimating the expectation value\nof a molecular Hamiltonian with respect to a quantum state through measurements\non a quantum device. To guide the selection of measurement methods designed for\nthis observable estimation problem, we propose a benchmark called CSHOREBench\n(Common States and Hamiltonians for ObseRvable Estimation Benchmark) that\nassesses the performance of these methods against a set of common molecular\nHamiltonians and common states encountered during the runtime of hybrid\nquantum-classical algorithms. In CSHOREBench, we account for resource\nutilization of a quantum computer through measurements of a prepared state, and\na classical computer through computational runtime spent in proposing\nmeasurements and classical post-processing of acquired measurement outcomes. We\napply CSHOREBench considering a variety of measurement methods on Hamiltonians\nof size up to 16 qubits. Our discussion is aided by using the framework of\ndecision diagrams which provides an efficient data structure for various\nrandomized methods and illustrate how to derandomize distributions on decision\ndiagrams. In numerical simulations, we find that the methods of decision\ndiagrams and derandomization are the most preferable. In experiments on IBM\nquantum devices against small molecules, we observe that decision diagrams\nreduces the number of measurements made by classical shadows by more than 80%,\nthat made by locally biased classical shadows by around 57%, and consistently\nrequire fewer quantum measurements along with lower classical computational\nruntime than derandomization. Furthermore, CSHOREBench is empirically efficient\nto run when considering states of random quantum ansatz with fixed depth.\",\"Arkopal Dutt, William Kirby, Rudy Raymond, Charles Hadfield, Sarah Sheldon, Isaac L. Chuang, Antonio Mezzacapo\",arXiv,quant-ph,practical benchmarking of randomized measurement methods for_quantum chemistry hamiltonians\nPractical randomness and privacy amplification,https://arxiv.org/abs/2009.06551,Quantum Protocol Design,\"Practical randomness amplification and privatisation with\n  implementations on quantum computers\",\"We present an end-to-end and practical randomness amplification and\nprivatisation protocol based on Bell tests. This allows the building of\ndevice-independent random number generators which output (near-)perfectly\nunbiased and private numbers, even if using an uncharacterised quantum device\npotentially built by an adversary. Our generation rates are linear in the\nrepetition rate of the quantum device and the classical randomness\npost-processing has quasi-linear complexity - making it efficient on a standard\npersonal laptop. The statistical analysis is also tailored for real-world\nquantum devices.\n  Our protocol is then showcased on several different quantum computers.\nAlthough not purposely built for the task, we show that quantum computers can\nrun faithful Bell tests by adding minimal assumptions. In this\nsemi-device-independent manner, our protocol generates (near-)perfectly\nunbiased and private random numbers on today's quantum computers.\",\"Cameron Foreman, Sherilyn Wright, Alec Edgington, Mario Berta, Florian J. Curchod\",arXiv,quant-ph,practical randomness and privacy amplification\nPredicting Many Properties of a Quantum System from Very Few Measurements,https://arxiv.org/abs/2002.08953,Experimental Simulating Tools,\"Predicting Many Properties of a Quantum System from Very Few\n  Measurements\",\"Predicting properties of complex, large-scale quantum systems is essential\nfor developing quantum technologies. We present an efficient method for\nconstructing an approximate classical description of a quantum state using very\nfew measurements of the state. This description, called a classical shadow, can\nbe used to predict many different properties: order $\\log M$ measurements\nsuffice to accurately predict $M$ different functions of the state with high\nsuccess probability. The number of measurements is independent of the system\nsize, and saturates information-theoretic lower bounds. Moreover, target\nproperties to predict can be selected after the measurements are completed. We\nsupport our theoretical findings with extensive numerical experiments. We apply\nclassical shadows to predict quantum fidelities, entanglement entropies,\ntwo-point correlation functions, expectation values of local observables, and\nthe energy variance of many-body local Hamiltonians. The numerical results\nhighlight the advantages of classical shadows relative to previously known\nmethods.\",\"Hsin-Yuan Huang, Richard Kueng, John Preskill\",arXiv,\"quant-ph, cs.IT, cs.LG, math.IT\",predicting many properties of a quantum system from very few measurements\n\"Programmable Heisenberg interactions between Floquet qubits - Long B. Nguyen, Yosep Kim, Akel Hashim, Noah Goss, Brian Marinelli, ...\",https://arxiv.org/abs/2211.10383,,Programmable Heisenberg interactions between Floquet qubits,\"The fundamental trade-off between robustness and tunability is a central\nchallenge in the pursuit of quantum simulation and fault-tolerant quantum\ncomputation. In particular, many emerging quantum architectures are designed to\nachieve high coherence at the expense of having fixed spectra and consequently\nlimited types of controllable interactions. Here, by adiabatically transforming\nfixed-frequency superconducting circuits into modifiable Floquet qubits, we\ndemonstrate an XXZ Heisenberg interaction with fully adjustable anisotropy.\nThis interaction model is on one hand the basis for many-body quantum\nsimulation of spin systems, and on the other hand the primitive for an\nexpressive quantum gate set. To illustrate the robustness and versatility of\nour Floquet protocol, we tailor the Heisenberg Hamiltonian and implement\ntwo-qubit iSWAP, CZ, and SWAP gates with estimated fidelities of 99.32(3)%,\n99.72(2)%, and 98.93(5)%, respectively. In addition, we implement a Heisenberg\ninteraction between higher energy levels and employ it to construct a\nthree-qubit CCZ gate with a fidelity of 96.18(5)%. Importantly, the protocol is\napplicable to various fixed-frequency high-coherence platforms, thereby\nunlocking a suite of essential interactions for high-performance quantum\ninformation processing. From a broader perspective, our work provides\ncompelling avenues for future exploration of quantum electrodynamics and\noptimal control using the Floquet framework.\",\"Long B. Nguyen, Yosep Kim, Akel Hashim, Noah Goss, Brian Marinelli, Bibek Bhandari, Debmalya Das, Ravi K. Naik, John Mark Kreikebaum, Andrew N. Jordan, David I. Santiago, Irfan Siddiqi\",arXiv,\"quant-ph, cond-mat.supr-con, physics.app-ph\",\"heisenberg long_b._nguyen yosep_kim brian_marinelli programmable interactions between floquet qubits_- long b. nguyen , yosep kim , akel hashim , noah goss , brian marinelli , ...\"\nProposal for room-temperature quantum repeaters with nitrogen-vacancy centers and optomechanics,https://arxiv.org/abs/2012.06687,Quantum Repeater Architectures,\"Proposal for room-temperature quantum repeaters with nitrogen-vacancy\n  centers and optomechanics\",\"We propose a quantum repeater architecture that can operate under ambient\nconditions. Our proposal builds on recent progress towards non-cryogenic\nspin-photon interfaces based on nitrogen-vacancy centers, which have excellent\nspin coherence times even at room temperature, and optomechanics, which allows\nto avoid phonon-related decoherence and also allows the emitted photons to be\nin the telecom band. We apply the photon number decomposition method to\nquantify the fidelity and the efficiency of entanglement established between\ntwo remote electron spins. We describe how the entanglement can be stored in\nnuclear spins and extended to long distances via quasi-deterministic\nentanglement swapping operations involving the electron and nuclear spins. We\nfurthermore propose schemes to achieve high-fidelity readout of the spin states\nat room temperature using the spin-optomechanics interface. Our work shows that\nlong-distance quantum networks made of solid-state components that operate at\nroom temperature are within reach of current technological capabilities.\",\"Jia-Wei Ji, Yu-Feng Wu, Stephen C. Wein, Faezeh Kimiaee Asadi, Roohollah Ghobadi, Christoph Simon\",arXiv,quant-ph,proposal for room - temperature quantum_repeaters with nitrogen - vacancy centers and optomechanics\nProtocols for creating and distilling multipartite GHZ states with Bell pairs,https://arxiv.org/abs/2010.12259,Quantum Protocol Design,\"Protocols for creating and distilling multipartite GHZ states with Bell\n  pairs\",\"The distribution of high-quality Greenberger-Horne-Zeilinger (GHZ) states is\nat the heart of many quantum communication tasks, ranging from extending the\nbaseline of telescopes to secret sharing. They also play an important role in\nerror-correction architectures for distributed quantum computation, where Bell\npairs can be leveraged to create an entangled network of quantum computers. We\ninvestigate the creation and distillation of GHZ states out of non-perfect Bell\npairs over quantum networks. In particular, we introduce a heuristic dynamic\nprogramming algorithm to optimize over a large class of protocols that create\nand purify GHZ states. All protocols considered use a common framework based on\nmeasurements of non-local stabilizer operators of the target state (i.e., the\nGHZ state), where each non-local measurement consumes another (non-perfect)\nentangled state as a resource. The new protocols outperform previous proposals\nfor scenarios without decoherence and local gate noise. Furthermore, the\nalgorithms can be applied for finding protocols for any number of parties and\nany number of entangled pairs involved.\",\"Sébastian de Bone, Runsheng Ouyang, Kenneth Goodenough, David Elkouss\",arXiv,quant-ph,bell protocols for creating and distilling multipartite ghz states with pairs\nQuantum Computational Supremacy,https://arxiv.org/pdf/1809.07442.pdf,Quantum Supremacy & Computational Advantage,Quantum Computational Supremacy,\"The field of quantum algorithms aims to find ways to speed up the solution of\ncomputational problems by using a quantum computer. A key milestone in this\nfield will be when a universal quantum computer performs a computational task\nthat is beyond the capability of any classical computer, an event known as\nquantum supremacy. This would be easier to achieve experimentally than\nfull-scale quantum computing, but involves new theoretical challenges. Here we\npresent the leading proposals to achieve quantum supremacy, and discuss how we\ncan reliably compare the power of a classical computer to the power of a\nquantum computer.\",\"Aram W Harrow, Ashley Montanaro\",arXiv,quant-ph,quantum_computational supremacy\n\"Quantum Internet Protocol Stack a Comprehensive Survey - Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti\",https://arxiv.org/abs/2202.10894,,Quantum Internet Protocol Stack: a Comprehensive Survey,\"Classical Internet evolved exceptionally during the last five decades, from a\nnetwork comprising a few static nodes in the early days to a leviathan\ninterconnecting billions of devices. This has been possible by the separation\nof concern principle, for which the network functionalities are organized as a\nstack of layers, each providing some communication functionalities through\nspecific network protocols. In this survey, we aim at highlighting the\nimpossibility of adapting the classical Internet protocol stack to the Quantum\nInternet, due to the marvels of quantum mechanics. Indeed, the design of the\nQuantum Internet requires a major paradigm shift of the whole protocol stack\nfor harnessing the peculiarities of quantum entanglement and quantum\ninformation. In this context, we first overview the relevant literature about\nQuantum Internet protocol stack. Then, stemming from this, we sheds the light\non the open problems and required efforts toward the design of an effective and\ncomplete Quantum Internet protocol stack. To the best of authors' knowledge, a\nsurvey of this type is the first of its own. What emerges from this analysis is\nthat the Quantum Internet, though still in its infancy, is a disruptive\ntechnology whose design requires an inter-disciplinary effort at the border\nbetween quantum physics, computer and telecommunications engineering.\",\"Jessica Illiano, Marcello Caleffi, Antonio Manzalini, Angela Sara Cacciapuoti\",arXiv,\"cs.NI, quant-ph\",\"quantum marcello_caleffi antonio_manzalini angela_sara_cacciapuoti internet protocol stack a comprehensive survey - jessica illiano , marcello caleffi , antonio manzalini , angela sara cacciapuoti\"\n\"Quantum Long Short-Term Memory - Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang\",https://arxiv.org/abs/2009.01783,,Quantum Long Short-Term Memory,\"Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN)\nfor sequence and temporal dependency data modeling and its effectiveness has\nbeen extensively established. In this work, we propose a hybrid\nquantum-classical model of LSTM, which we dub QLSTM. We demonstrate that the\nproposed model successfully learns several kinds of temporal data. In\nparticular, we show that for certain testing cases, this quantum version of\nLSTM converges faster, or equivalently, reaches a better accuracy, than its\nclassical counterpart. Due to the variational nature of our approach, the\nrequirements on qubit counts and circuit depth are eased, and our work thus\npaves the way toward implementing machine learning algorithms for sequence\nmodeling on noisy intermediate-scale quantum (NISQ) devices.\",\"Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang\",arXiv,\"quant-ph, cs.LG\",\"quantum_long quantum long short - term memory - samuel yen - chi chen , shinjae yoo , yao - lung l. fang\"\nQuantum Support Vector Machine for Big Data Classification,https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.113.130503,,Quantum Support Vector Machine for Big Data Classification,Unknown,\"Patrick Rebentrost, Masoud Mohseni, Seth Lloyd\",Physical Review Letters,,quantum support vector machine for big data classification\nQuantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels,https://arxiv.org/abs/1907.07432,The Quantum Internet,\"Quantum Switch for the Quantum Internet: Noiseless Communications\n  through Noisy Channels\",\"Counter-intuitively, quantum mechanics enables quantum particles to propagate\nsimultaneously among multiple space-time trajectories. Hence, a quantum\ninformation carrier can travel through different communication channels in a\nquantum superposition of different orders, so that the relative time-order of\nthe communication channels becomes indefinite. This is realized by utilizing a\nquantum device known as quantum switch. In this paper, we investigate, from a\ncommunication-engineering perspective, the use of the quantum switch within the\nquantum teleportation process, one of the key functionalities of the Quantum\nInternet. Specifically, a theoretical analysis is conducted to quantify the\nperformance gain that can be achieved by employing a quantum switch for the\nentanglement distribution process within the quantum teleportation with respect\nto the case of absence of quantum switch. This analysis reveals that, by\nutilizing the quantum switch, the quantum teleportation is heralded as a\nnoiseless communication process with a probability that, remarkably and\ncounter-intuitively, increases with the noise levels affecting the\ncommunication channels considered in the indefinite-order time combination.\",\"Marcello Caleffi, Angela Sara Cacciapuoti\",arXiv,\"quant-ph, cs.NI\",quantum noisy_channels switch for the internet : noiseless communications through noisy channels\nQuantum advantage in learning from experiments,https://arxiv.org/abs/2112.00778,Quantum Machine Learning (QML),Quantum advantage in learning from experiments,\"Quantum technology has the potential to revolutionize how we acquire and\nprocess experimental data to learn about the physical world. An experimental\nsetup that transduces data from a physical system to a stable quantum memory,\nand processes that data using a quantum computer, could have significant\nadvantages over conventional experiments in which the physical system is\nmeasured and the outcomes are processed using a classical computer. We prove\nthat, in various tasks, quantum machines can learn from exponentially fewer\nexperiments than those required in conventional experiments. The exponential\nadvantage holds in predicting properties of physical systems, performing\nquantum principal component analysis on noisy states, and learning approximate\nmodels of physical dynamics. In some tasks, the quantum processing needed to\nachieve the exponential advantage can be modest; for example, one can\nsimultaneously learn about many noncommuting observables by processing only two\ncopies of the system. Conducting experiments with up to 40 superconducting\nqubits and 1300 quantum gates, we demonstrate that a substantial quantum\nadvantage can be realized using today's relatively noisy quantum processors.\nOur results highlight how quantum technology can enable powerful new strategies\nto learn about nature.\",\"Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean\",arXiv,\"quant-ph, cs.IT, cs.LG, math.IT\",quantum advantage in learning from experiments\nQuantum algorithm for linear systems of equations,https://arxiv.org/pdf/0811.3171.pdf,Quantum Algorithms,Quantum algorithm for solving linear systems of equations,\"Solving linear systems of equations is a common problem that arises both on\nits own and as a subroutine in more complex problems: given a matrix A and a\nvector b, find a vector x such that Ax=b. We consider the case where one\ndoesn't need to know the solution x itself, but rather an approximation of the\nexpectation value of some operator associated with x, e.g., x'Mx for some\nmatrix M. In this case, when A is sparse, N by N and has condition number\nkappa, classical algorithms can find x and estimate x'Mx in O(N sqrt(kappa))\ntime. Here, we exhibit a quantum algorithm for this task that runs in poly(log\nN, kappa) time, an exponential improvement over the best classical algorithm.\",\"Aram W. Harrow, Avinatan Hassidim, Seth Lloyd\",arXiv,quant-ph,quantum_algorithm linear quantum algorithm for systems of equations\n\"Quantum computational advantage using photons - Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, ...\",https://www.science.org/doi/10.1126/science.abe8770,,Quantum computational advantage using photons,\"A light approach to quantum advantage\n          \n            Quantum computational advantage or supremacy is a long-anticipated milestone toward practical quantum computers. Recent work claimed to have reached this point, but subsequent work managed to speed up the classical simulation and pointed toward a sample size–dependent loophole. Quantum computational advantage, rather than being a one-shot experimental proof, will be the result of a long-term competition between quantum devices and classical simulation. Zhong\n            et al.\n            sent 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer and sampled the output using 100 high-efficiency single-photon detectors. By obtaining up to 76-photon coincidence, yielding a state space dimension of about 10\n            30\n            , they measured a sampling rate that is about 10\n            14\n            -fold faster than using state-of-the-art classical simulation strategies and supercomputers.\n          \n          \n            Science\n            , this issue p.\n            1460\n          \",\"Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, Dian Wu, Xing Ding, Yi Hu, Peng Hu, Xiao-Yan Yang, Wei-Jun Zhang, Hao Li, Yuxuan Li, Xiao Jiang, Lin Gan, Guangwen Yang, Lixing You, Zhen Wang, Li Li, Nai-Le Liu, Chao-Yang Lu, Jian-Wei Pan\",Science,,\"hui_wang yu-hao_deng cheng_chen li-chao_peng quantum_computational advantage using photons - han - sen zhong , hui wang , yu - hao deng , ming - cheng chen , li - chao peng , yi - han luo , jian qin , ...\"\n\"Quantum computing with photons - introduction to the circuit model, the one way quantum computer, and the fundamental principles of photonic experiments\",https://iopscience.iop.org/article/10.1088/0953-4075/48/8/083001,,\"Quantum computing with photons: introduction to the circuit model, the one-way quantum computer, and the fundamental principles of photonic experiments\",Unknown,Stefanie Barz,\"Journal of Physics B: Atomic, Molecular and Optical Physics\",,\"quantum_computing with photons - introduction to the circuit model , the way quantum computer , and the fundamental principles of photonic experiments\"\n\"Quantum mechanics with real numbers: entanglement, superselection rules and gauges\",https://arxiv.org/pdf/2308.05473.pdf,Commercial and Philosophical Views,\"Quantum mechanics with real numbers: entanglement, superselection rules\n  and gauges\",\"We show how imaginary numbers in quantum physics can be eliminated by\nenlarging the Hilbert Space followed by an imposition of - what effectively\namounts to - a superselection rule. We illustrate this procedure with a qubit\nand apply it to the Mach-Zehnder interferometer. The procedure is somewhat\nreminiscent of the constrained quantization of the electromagnetic field,\nwhere, in order to manifestly comply with relativity, one enlargers the Hilbert\nSpace by quantizing the longitudinal and scalar modes, only to subsequently\nintroduce a constraint to make sure that they are actually not directly\nobservable.\",Vlatko Vedral,arXiv,quant-ph,\"quantum mechanics with real numbers : entanglement , superselection rules and gauges\"\nQuantum Particles and Classical Particles - Nathan Rosen,https://link.springer.com/article/10.1007/BF00735376,,Quantum particles and classical particles,Unknown,Nathan Rosen,Foundations of Physics,,quantum particles and classical particles - nathan rosen\n\"Quantum readout error mitigation via deep learning - Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, and Daniel K Park\",https://iopscience.iop.org/article/10.1088/1367-2630/ac7b3d,,Quantum readout error mitigation via deep learning,\"Abstract\n               Quantum computing devices are inevitably subject to errors. To leverage quantum technologies for computational benefits in practical applications, quantum algorithms and protocols must be implemented reliably under noise and imperfections. Since noise and imperfections limit the size of quantum circuits that can be realized on a quantum device, developing quantum error mitigation techniques that do not require extra qubits and gates is of critical importance. In this work, we present a deep learning-based protocol for reducing readout errors on quantum hardware. Our technique is based on training an artificial neural network (NN) with the measurement results obtained from experiments with simple quantum circuits consisting of singe-qubit gates only. With the NN and deep learning, non-linear noise can be corrected, which is not possible with the existing linear inversion methods. The advantage of our method against the existing methods is demonstrated through quantum readout error mitigation experiments performed on IBM five-qubit quantum devices.\",\"Jihye Kim, Byungdu Oh, Yonuk Chong, Euyheon Hwang, Daniel K Park\",New Journal of Physics,,\"quantum_readout_error_mitigation kim euyheon_hwang daniel_k_park quantum readout error mitigation via deep learning - jihye , byungdu oh , yonuk chong , euyheon hwang , and daniel k park\"\nQuantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model,https://journals.aps.org/pra/pdf/10.1103/PhysRevA.40.4277,Quantum Information Theory,Quantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model,Unknown,Reinhard F. Werner,Physical Review A,,quantum einstein-podolsky-rosen states with einstein - podolsky - rosen correlations admitting a hidden - variable model\nQuantum walks a comprehensive review - Salvador E. Venegas-Andraca,https://arxiv.org/abs/1201.4780,,Quantum walks: a comprehensive review,\"Quantum walks, the quantum mechanical counterpart of classical random walks,\nis an advanced tool for building quantum algorithms that has been recently\nshown to constitute a universal model of quantum computation. Quantum walks is\nnow a solid field of research of quantum computation full of exciting open\nproblems for physicists, computer scientists, mathematicians and engineers.\n  In this paper we review theoretical advances on the foundations of both\ndiscrete- and continuous-time quantum walks, together with the role that\nrandomness plays in quantum walks, the connections between the mathematical\nmodels of coined discrete quantum walks and continuous quantum walks, the\nquantumness of quantum walks, a summary of papers published on discrete quantum\nwalks and entanglement as well as a succinct review of experimental proposals\nand realizations of discrete-time quantum walks. Furthermore, we have reviewed\nseveral algorithms based on both discrete- and continuous-time quantum walks as\nwell as a most important result: the computational universality of both\ncontinuous- and discrete- time quantum walks.\",Salvador E. Venegas-Andraca,arXiv,\"quant-ph, math-ph, math.MP\",e._venegas-andraca quantum_walks a comprehensive review - salvador e. venegas - andraca\nQuantum-Enhanced Data Classification with a Variational Entangled Sensor Network,https://arxiv.org/abs/2006.11962,Quantum Enhanced Sensing & Detection,\"Quantum-enhanced data classification with a variational entangled sensor\n  network\",\"Variational quantum circuits (VQCs) built upon noisy intermediate-scale\nquantum (NISQ) hardware, in conjunction with classical processing, constitute a\npromising architecture for quantum simulations, classical optimization, and\nmachine learning. However, the required VQC depth to demonstrate a quantum\nadvantage over classical schemes is beyond the reach of available NISQ devices.\nSupervised learning assisted by an entangled sensor network (SLAEN) is a\ndistinct paradigm that harnesses VQCs trained by classical machine-learning\nalgorithms to tailor multipartite entanglement shared by sensors for solving\npractically useful data-processing problems. Here, we report the first\nexperimental demonstration of SLAEN and show an entanglement-enabled reduction\nin the error probability for classification of multidimensional radio-frequency\nsignals. Our work paves a new route for quantum-enhanced data processing and\nits applications in the NISQ era.\",\"Yi Xia, Wei Li, Quntao Zhuang, Zheshen Zhang\",arXiv,\"quant-ph, physics.optics\",quantum - enhanced data classification with_a variational entangled sensor network\n\"Rate limits in quantum networks with lossy repeaters - Riccardo Laurenza, Nathan Walk, Jens Eisert and Stefao Pirandola\",https://arxiv.org/pdf/2110.10168.pdf,,Rate limits in quantum networks with lossy repeaters,\"The derivation of ultimate limits to communication over certain quantum\nrepeater networks have provided extremely valuable benchmarks for assessing\nnear-term quantum communication protocols. However, these bounds are usually\nderived in the limit of ideal devices and leave questions about the performance\nof practical implementations unanswered. To address this challenge, we quantify\nhow the presence of loss in repeater stations affect the maximum attainable\nrates for quantum communication over linear repeater chains and more complex\nquantum networks. Extending the framework of node splitting, we model the loss\nintroduced at the repeater stations and then prove the corresponding limits. In\nthe linear chain scenario we show that, by increasing the number of repeater\nstations, the maximum rate cannot overcome a quantity which solely depends on\nthe loss of a single station. We introduce a way of adapting the standard\nmachinery for obtaining bounds to this realistic scenario. The difference is\nthat whilst ultimate limits for any strategy can be derived given a fixed\nchannel, when the repeaters introduce additional decoherence, then the\neffective overall channel is itself a function of the chosen repeater strategy\n(e.g., one-way versus two-way classical communication). Classes of repeater\nstrategies can be analysed using additional modelling and the subsequent bounds\ncan be interpreted as the optimal rate within that class.\",\"Riccardo Laurenza, Nathan Walk, Jens Eisert, Stefano Pirandola\",arXiv,quant-ph,\"jens_eisert rate limits in_quantum networks with lossy repeaters - riccardo laurenza , nathan walk , jens eisert and stefao pirandola\"\nReal-time quantum error correction beyond break-even,https://arxiv.org/abs/2211.09116,Quantum Error Correction,Real-time quantum error correction beyond break-even,\"The ambition of harnessing the quantum for computation is at odds with the\nfundamental phenomenon of decoherence. The purpose of quantum error correction\n(QEC) is to counteract the natural tendency of a complex system to decohere.\nThis cooperative process, which requires participation of multiple quantum and\nclassical components, creates a special type of dissipation that removes the\nentropy caused by the errors faster than the rate at which these errors corrupt\nthe stored quantum information. Previous experimental attempts to engineer such\na process faced an excessive generation of errors that overwhelmed the\nerror-correcting capability of the process itself. Whether it is practically\npossible to utilize QEC for extending quantum coherence thus remains an open\nquestion. We answer it by demonstrating a fully stabilized and error-corrected\nlogical qubit whose quantum coherence is significantly longer than that of all\nthe imperfect quantum components involved in the QEC process, beating the best\nof them with a coherence gain of $G = 2.27 \\pm 0.07$. We achieve this\nperformance by combining innovations in several domains including the\nfabrication of superconducting quantum circuits and model-free reinforcement\nlearning.\",\"V. V. Sivak, A. Eickbusch, B. Royer, S. Singh, I. Tsioutsios, S. Ganjam, A. Miano, B. L. Brock, A. Z. Ding, L. Frunzio, S. M. Girvin, R. J. Schoelkopf, M. H. Devoret\",arXiv,quant-ph,real - time quantum_error correction beyond break - even\n\"Realization of Real-Time Fault-Tolerant Quantum Error Correction - C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, Francois, A. Chernoguzov, ...\",https://journals.aps.org/prx/abstract/10.1103/PhysRevX.11.041058,,Realization of Real-Time Fault-Tolerant Quantum Error Correction,Unknown,\"C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, D. Francois, A. Chernoguzov, D. Lucchetti, N. C. Brown, T. M. Gatterman, S. K. Halit, K. Gilmore, J. A. Gerber, B. Neyenhuis, D. Hayes, R. P. Stutz\",Physical Review X,,\"correction_-_c._ryan-anderson j._g._bohnet k._lee a._hankin j._p._gaebler a._chernoguzov realization of real - time fault - tolerant quantum_error correction_- c. ryan - anderson , j. g. bohnet , k. lee , gresh , a. hankin , j. p. gaebler , , a. chernoguzov , ...\"\nRearrangement of single atoms in a 2000-site optical tweezers array at cryogenic temperatures,https://arxiv.org/pdf/2405.19503,,\"Rearrangement of single atoms in a 2000-site optical tweezers array at\n  cryogenic temperatures\",\"We report on the trapping of single rubidium atoms in large arrays of optical\ntweezers comprising up to 2088 sites in a cryogenic environment at 6 K. Our\napproach relies on the use of microscope objectives that are in-vacuum but at\nroom temperature, in combination with windowless thermal shields into which the\nobjectives are protruding to ensure a cryogenic environment for the trapped\natoms. To achieve enough optical power for efficient trapping, we combine two\nlasers at slightly different wavelengths. We discuss the performance and\nlimitations of our design. Finally, we demonstrate atom-by-atom rearrangement\nof an 828-atom target array using moving optical tweezers controlled by a\nfield-programmable gate array.\",\"Grégoire Pichard, Desiree Lim, Etienne Bloch, Julien Vaneecloo, Lilian Bourachot, Gert-Jan Both, Guillaume Mériaux, Sylvain Dutartre, Richard Hostein, Julien Paris, Bruno Ximenez, Adrien Signoles, Antoine Browaeys, Thierry Lahaye, Davide Dreon\",arXiv,\"physics.atom-ph, cond-mat.quant-gas, quant-ph\",rearrangement of single atoms in a - site optical tweezers array at cryogenic temperatures\nResource savings from fault-tolerant circuit design,https://arxiv.org/pdf/2311.02132.pdf,Quantum Error Correction,Resource savings from fault-tolerant circuit design,\"Using fault-tolerant constructions, computations performed with unreliable\ncomponents can simulate their noiseless counterparts though the introduction of\na modest amount of redundancy. Given the modest overhead required to achieve\nfault-tolerance, and the fact that increasing the reliability of basic\ncomponents often comes at a cost, are there situations where fault-tolerance\nmay be more economical? We present a general framework to account for this\noverhead cost in order to effectively compare fault-tolerant to\nnon-fault-tolerant approaches for computation, in the limit of small logical\nerror rates. Using this detailed accounting, we determine explicit boundaries\nat which fault-tolerant designs become more efficient than designs that achieve\ncomparable reliability through direct consumption of resources. We find that\nthe fault-tolerant construction is always preferred in the limit of high\nreliability in cases where the resources required to construct a basic unit\ngrows faster than $\\log(1 / \\epsilon)$ asymptotically for small $\\epsilon$.\",\"Andrew K. Tan, Isaac L. Chuang\",arXiv,\"cs.CE, cs.IT, math.IT\",resource savings from fault - tolerant circuit design\n\"Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing - David Barral, et. al.\",https://arxiv.org/abs/2404.01265,,\"Review of Distributed Quantum Computing. From single QPU to High\n  Performance Quantum Computing\",\"The emerging field of quantum computing has shown it might change how we\nprocess information by using the unique principles of quantum mechanics. As\nresearchers continue to push the boundaries of quantum technologies to\nunprecedented levels, distributed quantum computing raises as an obvious path\nto explore with the aim of boosting the computational power of current quantum\nsystems. This paper presents a comprehensive survey of the current state of the\nart in the distributed quantum computing field, exploring its foundational\nprinciples, landscape of achievements, challenges, and promising directions for\nfurther research. From quantum communication protocols to entanglement-based\ndistributed algorithms, each aspect contributes to the mosaic of distributed\nquantum computing, making it an attractive approach to address the limitations\nof classical computing. Our objective is to provide an exhaustive overview for\nexperienced researchers and field newcomers.\",\"David Barral, F. Javier Cardama, Guillermo Díaz, Daniel Faílde, Iago F. Llovo, Mariamo Mussa Juane, Jorge Vázquez-Pérez, Juan Villasuso, César Piñeiro, Natalia Costas, Juan C. Pichel, Tomás F. Pena, Andrés Gómez\",arXiv,\"quant-ph, cs.ET\",\"review of distributed_quantum computing . from single qpu to high performance quantum_computing - david barral , et._al .\"\nRoom temperature quantum key distribution characteristics of low‑noise InGaAs/InP single‑photon avalanche diode,https://link.springer.com/article/10.1007/s40042-021-00111-4,Quantum Hardware & Implementation,Room temperature quantum key distribution characteristics of low-noise InGaAs/InP single-photon avalanche diode,Unknown,\"Soo-Hyun Baek, Seung-Chul Yang, Chan-Yong Park, Chul-Woo Park, Seok-Beom Cho, Sang-Wan Ryu\",Journal of the Korean Physical Society,,single‑photon room temperature quantum key distribution characteristics of low‑noise ingaas / inp avalanche diode\nScaling silicon-based quantum computing using CMOS technology,https://arxiv.org/abs/2011.11753,Silicon Based Technologies,\"Scaling silicon-based quantum computing using CMOS technology:\n  State-of-the-art, Challenges and Perspectives\",\"Complementary metal-oxide semiconductor (CMOS) technology has radically\nreshaped the world by taking humanity to the digital age. Cramming more\ntransistors into the same physical space has enabled an exponential increase in\ncomputational performance, a strategy that has been recently hampered by the\nincreasing complexity and cost of miniaturization. To continue achieving\nsignificant gains in computing performance, new computing paradigms, such as\nquantum computing, must be developed. However, finding the optimal physical\nsystem to process quantum information, and scale it up to the large number of\nqubits necessary to build a general-purpose quantum computer, remains a\nsignificant challenge. Recent breakthroughs in nanodevice engineering have\nshown that qubits can now be manufactured in a similar fashion to silicon\nfield-effect transistors, opening an opportunity to leverage the know-how of\nthe CMOS industry to address the scaling challenge. In this article, we focus\non the analysis of the scaling prospects of quantum computing systems based on\nCMOS technology.\",\"M. F. Gonzalez-Zalba, S. de Franceschi, E. Charbon, T. Meunier, M. Vinet, A. S. Dzurak\",arXiv,\"quant-ph, cond-mat.mes-hall\",scaling silicon - based quantum_computing using cmos technology\n\"SeQUeNCe a customizable discrete-event simulator of quantum networks - Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin,, Tian Zhong, ...\",https://arxiv.org/abs/2009.12000,,SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks,\"Recent advances in quantum information science enabled the development of\nquantum communication network prototypes and created an opportunity to study\nfull-stack quantum network architectures. This work develops SeQUeNCe, a\ncomprehensive, customizable quantum network simulator. Our simulator consists\nof five modules: Hardware models, Entanglement Management protocols, Resource\nManagement, Network Management, and Application. This framework is suitable for\nsimulation of quantum network prototypes that capture the breadth of current\nand future hardware technologies and protocols. We implement a comprehensive\nsuite of network protocols and demonstrate the use of SeQUeNCe by simulating a\nphotonic quantum network with nine routers equipped with quantum memories. The\nsimulation capabilities are illustrated in three use cases. We show the\ndependence of quantum network throughput on several key hardware parameters and\nstudy the impact of classical control message latency. We also investigate\nquantum memory usage efficiency in routers and demonstrate that redistributing\nmemory according to anticipated load increases network capacity by 69.1% and\nthroughput by 6.8%. We design SeQUeNCe to enable comparisons of alternative\nquantum network technologies, experiment planning, and validation and to aid\nwith new protocol design. We are releasing SeQUeNCe as an open source tool and\naim to generate community interest in extending it.\",\"Xiaoliang Wu, Alexander Kolar, Joaquin Chung, Dong Jin, Tian Zhong, Rajkumar Kettimuthu, Martin Suchara\",arXiv,quant-ph,\"xiaoliang_wu alexander_kolar joaquin_chung dong_jin tian_zhong sequence a customizable discrete - event simulator of_quantum networks_- xiaoliang wu , alexander kolar , joaquin chung , dong jin , , tian zhong , ...\"\nSingle-shot Quantum Signal Processing Interferometry,https://arxiv.org/pdf/2311.13703.pdf,Programmable Quantum Gates,Single-shot Quantum Signal Processing Interferometry,\"Quantum systems of infinite dimension, such as bosonic oscillators, provide\nvast resources for quantum sensing. Yet, a general theory on how to manipulate\nsuch bosonic modes for sensing beyond parameter estimation is unknown. We\npresent a general algorithmic framework, quantum signal processing\ninterferometry (QSPI), for quantum sensing at the fundamental limits of quantum\nmechanics by generalizing Ramsey-type interferometry. Our QSPI sensing protocol\nrelies on performing nonlinear polynomial transformations on the oscillator's\nquadrature operators by generalizing quantum signal processing (QSP) from\nqubits to hybrid qubit-oscillator systems. We use our QSPI sensing framework to\nmake efficient binary decisions on a displacement channel in the single-shot\nlimit. Theoretical analysis suggests the sensing accuracy, given a single-shot\nqubit measurement, scales inversely with the sensing time or circuit depth of\nthe algorithm. We further concatenate a series of such binary decisions to\nperform parameter estimation in a bit-by-bit fashion. Numerical simulations are\nperformed to support these statements. Our QSPI protocol offers a unified\nframework for quantum sensing using continuous-variable bosonic systems beyond\nparameter estimation and establishes a promising avenue toward efficient and\nscalable quantum control and quantum sensing schemes beyond the NISQ era.\",\"Jasmine Sinanan-Singh, Gabriel L. Mintzer, Isaac L. Chuang, Yuan Liu\",arXiv,\"quant-ph, eess.SP\",single - shot quantum signal processing interferometry\nSolitons near avoided mode crossings in χ(2) nanowaveguides,https://arxiv.org/abs/2108.08563,Silicon Based Technologies,Solitons near avoided mode crossing in $χ^{(2)}$ nanowaveguides,\"We present a model for $\\chi^{(2)}$ waveguides accounting for three modes,\ntwo of which make an avoided crossing at the second harmonic wavelength. We\nintroduce two linearly coupled pure modes and adjust the coupling to replicate\nthe waveguide dispersion near the avoided crossing. Analysis of the nonlinear\nsystem reveals continuous wave (CW) solutions across much of the\nparameter-space and prevalence of its modulational instability. We also predict\nthe existence of the avoided-crossing solitons, and study peculiarities of\ntheir dynamics and spectral properties, which include formation of a pedestal\nin the pulse tails and associated pronounced spectral peaks. Mapping these\nsolitons onto the linear dispersion diagrams, we make connections between their\nexistence and CW existence and stability. We also simulate the two-color\nsoliton generation from a single frequency pump pulse to back up its formation\nand stability properties.\",\"William R. Rowe, Andrey V. Gorbach, Dmitry V. Skryabin\",arXiv,\"physics.optics, nlin.PS\",solitons near avoided mode crossings in ) nanowaveguides\nStim: a fast stabilizer circuit simulator -Craig Gidney,https://arxiv.org/abs/2103.02202v3,,Stim: a fast stabilizer circuit simulator,\"This paper presents ``Stim\"\", a fast simulator for quantum stabilizer\ncircuits. The paper explains how Stim works and compares it to existing tools.\nWith no foreknowledge, Stim can analyze a distance 100 surface code circuit (20\nthousand qubits, 8 million gates, 1 million measurements) in 15 seconds and\nthen begin sampling full circuit shots at a rate of 1 kHz. Stim uses a\nstabilizer tableau representation, similar to Aaronson and Gottesman's CHP\nsimulator, but with three main improvements. First, Stim improves the\nasymptotic complexity of deterministic measurement from quadratic to linear by\ntracking the {\\em inverse} of the circuit's stabilizer tableau. Second, Stim\nimproves the constant factors of the algorithm by using a cache-friendly data\nlayout and 256 bit wide SIMD instructions. Third, Stim only uses expensive\nstabilizer tableau simulation to create an initial reference sample. Further\nsamples are collected in bulk by using that sample as a reference for batches\nof Pauli frames propagating through the circuit.\",Craig Gidney,arXiv,quant-ph,stim : a fast stabilizer circuit simulator -craig gidney\n\"Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead - Oscar Higgott, Nikolas P. Breuckmann\",https://arxiv.org/abs/2010.09626,,\"Subsystem codes with high thresholds by gauge fixing and reduced qubit\n  overhead\",\"We introduce a technique that uses gauge fixing to significantly improve the\nquantum error correcting performance of subsystem codes. By changing the order\nin which check operators are measured, valuable additional information can be\ngained, and we introduce a new method for decoding which uses this information\nto improve performance. Applied to the subsystem toric code with three-qubit\ncheck operators, we increase the threshold under circuit-level depolarising\nnoise from $0.67\\%$ to $0.81\\%$. The threshold increases further under a\ncircuit-level noise model with small finite bias, up to $2.22\\%$ for infinite\nbias. Furthermore, we construct families of finite-rate subsystem LDPC codes\nwith three-qubit check operators and optimal-depth parity-check measurement\nschedules. To the best of our knowledge, these finite-rate subsystem codes\noutperform all known codes at circuit-level depolarising error rates as high as\n$0.2\\%$, where they have a qubit overhead that is $4.3\\times$ lower than the\nmost efficient version of the surface code and $5.1\\times$ lower than the\nsubsystem toric code. Their threshold and pseudo-threshold exceeds $0.42\\%$ for\ncircuit-level depolarising noise, increasing to $2.4\\%$ under infinite bias\nusing gauge fixing.\",\"Oscar Higgott, Nikolas P. Breuckmann\",arXiv,quant-ph,\"subsystem codes with high thresholds by gauge fixing and reduced qubit overhead - oscar higgott , p. breuckmann\"\n\"Supervised learning with quantum enhanced feature spaces - Vojtech Havlicek, et.al\",https://arxiv.org/pdf/1804.11326.pdf,,Supervised learning with quantum enhanced feature spaces,\"Machine learning and quantum computing are two technologies each with the\npotential for altering how computation is performed to address previously\nuntenable problems. Kernel methods for machine learning are ubiquitous for\npattern recognition, with support vector machines (SVMs) being the most\nwell-known method for classification problems. However, there are limitations\nto the successful solution to such problems when the feature space becomes\nlarge, and the kernel functions become computationally expensive to estimate. A\ncore element to computational speed-ups afforded by quantum algorithms is the\nexploitation of an exponentially large quantum state space through controllable\nentanglement and interference. Here, we propose and experimentally implement\ntwo novel methods on a superconducting processor. Both methods represent the\nfeature space of a classification problem by a quantum state, taking advantage\nof the large dimensionality of quantum Hilbert space to obtain an enhanced\nsolution. One method, the quantum variational classifier builds on [1,2] and\noperates through using a variational quantum circuit to classify a training set\nin direct analogy to conventional SVMs. In the second, a quantum kernel\nestimator, we estimate the kernel function and optimize the classifier\ndirectly. The two methods present a new class of tools for exploring the\napplications of noisy intermediate scale quantum computers [3] to machine\nlearning.\",\"Vojtech Havlicek, Antonio D. Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, Jay M. Gambetta\",arXiv,\"quant-ph, stat.ML\",\"supervised learning with quantum enhanced feature spaces - vojtech havlicek , et.al\"\nSurface codes: Towards practical large-scale quantum computation,https://arxiv.org/abs/1208.0928,Quantum Error Correction,Surface codes: Towards practical large-scale quantum computation,\"This article provides an introduction to surface code quantum computing. We\nfirst estimate the size and speed of a surface code quantum computer. We then\nintroduce the concept of the stabilizer, using two qubits, and extend this\nconcept to stabilizers acting on a two-dimensional array of physical qubits, on\nwhich we implement the surface code. We next describe how logical qubits are\nformed in the surface code array and give numerical estimates of their\nfault-tolerance. We outline how logical qubits are physically moved on the\narray, how qubit braid transformations are constructed, and how a braid between\ntwo logical qubits is equivalent to a controlled-NOT. We then describe the\nsingle-qubit Hadamard, S and T operators, completing the set of required gates\nfor a universal quantum computer. We conclude by briefly discussing physical\nimplementations of the surface code. We include a number of appendices in which\nwe provide supplementary information to the main text.\",\"Austin G. Fowler, Matteo Mariantoni, John M. Martinis, Andrew N. Cleland\",arXiv,quant-ph,surface codes : towards practical large - scale quantum_computation\nSymmetry-invariant quantum machine learning force fields,https://arxiv.org/abs/2311.11362,Quantum Machine Learning (QML),Symmetry-invariant quantum machine learning force fields,\"Machine learning techniques are essential tools to compute efficient, yet\naccurate, force fields for atomistic simulations. This approach has recently\nbeen extended to incorporate quantum computational methods, making use of\nvariational quantum learning models to predict potential energy surfaces and\natomic forces from ab initio training data. However, the trainability and\nscalability of such models are still limited, due to both theoretical and\npractical barriers. Inspired by recent developments in geometric classical and\nquantum machine learning, here we design quantum neural networks that\nexplicitly incorporate, as a data-inspired prior, an extensive set of\nphysically relevant symmetries. We find that our invariant quantum learning\nmodels outperform their more generic counterparts on individual molecules of\ngrowing complexity. Furthermore, we study a water dimer as a minimal example of\na system with multiple components, showcasing the versatility of our proposed\napproach and opening the way towards larger simulations. Our results suggest\nthat molecular force fields generation can significantly profit from leveraging\nthe framework of geometric quantum machine learning, and that chemical systems\nrepresent, in fact, an interesting and rich playground for the development and\napplication of advanced quantum machine learning tools.\",\"Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino\",arXiv,\"quant-ph, cs.LG, physics.chem-ph, physics.comp-ph\",symmetry - invariant quantum_machine learning force fields\nTeleportation of entanglement over 143 km,https://arxiv.org/abs/1403.0009,Quantum Entanglement & Teleportation,Teleportation of entanglement over 143 km,\"As a direct consequence of the no-cloning theorem, the deterministic\namplification as in classical communication is impossible for quantum states.\nThis calls for more advanced techniques in a future global quantum network,\ne.g. for cloud quantum computing. A unique solution is the teleportation of an\nentangled state, i.e. entanglement swapping, representing the central resource\nto relay entanglement between distant nodes. Together with entanglement\npurification and a quantum memory it constitutes a so-called quantum repeater.\nSince the aforementioned building blocks have been individually demonstrated in\nlaboratory setups only, the applicability of the required technology in\nreal-world scenarios remained to be proven. Here we present a free-space\nentanglement-swapping experiment between the Canary Islands of La Palma and\nTenerife, verifying the presence of quantum entanglement between two previously\nindependent photons separated by 143 km. We obtained an expectation value for\nthe entanglement-witness operator, more than 6 standard deviations beyond the\nclassical limit. By consecutive generation of the two required photon pairs and\nspace-like separation of the relevant measurement events, we also showed the\nfeasibility of the swapping protocol in a long-distance scenario, where the\nindependence of the nodes is highly demanded. Since our results already allow\nfor efficient implementation of entanglement purification, we anticipate our\nassay to lay the ground for a fully-fledged quantum repeater over a realistic\nhigh-loss and even turbulent quantum channel.\",\"Thomas Herbst, Thomas Scheidl, Matthias Fink, Johannes Handsteiner, Bernhard Wittmann, Rupert Ursin, Anton Zeilinger\",arXiv,\"quant-ph, physics.optics\",teleportation of entanglement over 143 km\n\"The Computational and Latency Advantage of Quantum Communication Networks - Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H.P. Fitzek and Holger Boche\",https://arxiv.org/pdf/2106.03360.pdf,,\"The Computational and Latency Advantage of Quantum Communication\n  Networks\",\"This article summarises the current status of classical communication\nnetworks and identifies some critical open research challenges that can only be\nsolved by leveraging quantum technologies. By now, the main goal of quantum\ncommunication networks has been security. However, quantum networks can do more\nthan just exchange secure keys or serve the needs of quantum computers. In\nfact, the scientific community is still investigating on the possible use\ncases/benefits that quantum communication networks can bring. Thus, this\narticle aims at pointing out and clearly describing how quantum communication\nnetworks can enhance in-network distributed computing and reduce the overall\nend-to-end latency, beyond the intrinsic limits of classical technologies.\nFurthermore, we also explain how entanglement can reduce the communication\ncomplexity (overhead) that future classical virtualised networks will\nexperience.\",\"Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H. P. Fitzek, Holger Boche\",arXiv,\"cs.IT, math.IT, quant-ph\",\"deppe frank_h.p._fitzek the computational and latency advantage of_quantum communication networks_- roberto ferrara , riccardo bassoli , , frank h.p . fitzek and holger boche\"\n\"The SWAP test and the Hong-Ou-Mandel effect are equivalent - Juan Carlos Garcia-Escartin, Pedro Chamorro-Posada\",https://arxiv.org/abs/1303.6814,,The SWAP test and the Hong-Ou-Mandel effect are equivalent,\"We show that the Hong-Ou-Mandel effect from quantum optics is equivalent to\nthe SWAP test, a quantum information primitive which compares two arbitrary\nstates. We first derive a destructive SWAP test that doesn't need the ancillary\nqubit that appears in the usual quantum circuit. Then, we study the\nHong-Ou-Mandel effect for two photons meeting at a beam splitter and prove it\nis, in fact, an optical implementation of the destructive SWAP test. This\nresult offers both an interesting simple realization of a powerful quantum\ninformation primitive and an alternative way to understand and analyse the\nHong-Ou-Mandel effect.\",\"Juan Carlos Garcia-Escartin, Pedro Chamorro-Posada\",arXiv,quant-ph,\"juan_carlos_garcia-escartin the swap test and the hong - ou - mandel effect are equivalent - juan carlos garcia - escartin , pedro chamorro - posada\"\n\"The_Virtual_Quantum_Optics_Laboratory - Brian R. La Cour, Maria Maynard, Parth Shroff, Gabriel Ko, Evan Ellis\",https://arxiv.org/abs/2105.07300,,The Virtual Quantum Optics Laboratory,\"We present a web-based software tool, the Virtual Quantum Optics Laboratory\n(VQOL), that may be used for designing and executing realistic simulations of\nquantum optics experiments. A graphical user interface allows one to rapidly\nbuild and configure a variety of different optical experiments, while the\nruntime environment provides unique capabilities for visualization and\nanalysis. All standard linear optical components are available as well as\nsources of thermal, coherent, and entangled Gaussian states. A unique aspect of\nVQOL is the introduction of non-Gaussian measurements using detectors modeled\nas deterministic devices that \"\"click\"\" when the amplitude of the light falls\nabove a given threshold. We describe the underlying theoretical models and\nprovide several illustrative examples. We find that VQOL provides a a faithful\nrepresentation of many experimental quantum optics phenomena and may serve as\nboth a useful instructional tool for students as well as a valuable research\ntool for practitioners.\",\"Brian R. La Cour, Maria Maynard, Parth Shroff, Gabriel Ko, Evan Ellis\",arXiv,quant-ph,\"la_cour maria_maynard gabriel_ko evan_ellis the_virtual_quantum_optics_laboratory - brian r. la cour , maria maynard , parth shroff , gabriel ko , evan ellis\"\nThe information-theoretic foundation of thermodynamic work extraction,https://arxiv.org/abs/2009.04588,Physical Information,The information-theoretic foundation of thermodynamic work extraction,\"In this paper I apply newly-proposed information-theoretic principles to\nthermodynamic work extraction. I show that if it is possible to extract work\ndeterministically from a physical system prepared in any one of a set of\nstates, then those states must be distinguishable from one another. This result\nis formulated independently of scale and of particular dynamical laws; it also\nprovides a novel connection between thermodynamics and information theory,\nestablished via the law of conservation of energy (rather than the second law\nof thermodynamics). Albeit compatible with these conclusions, existing\nthermodynamics approaches cannot provide a result of such generality, because\nthey are scale-dependent (relying on ensembles or coarse-graining) or tied to\nparticular dynamical laws. This paper thus provides a broader foundation for\nthermodynamics, with implications for the theory of von Neumann's universal\nconstructor\",Chiara Marletto,arXiv,\"quant-ph, physics.comp-ph\",the information - theoretic foundation of thermodynamic work extraction\nThe role of quantum information in thermodynamics,https://arxiv.org/abs/1505.07835,Physical Information,The role of quantum information in thermodynamics --- a topical review,\"This topical review article gives an overview of the interplay between\nquantum information theory and thermodynamics of quantum systems. We focus on\nseveral trending topics including the foundations of statistical mechanics,\nresource theories, entanglement in thermodynamic settings, fluctuation theorems\nand thermal machines. This is not a comprehensive review of the diverse field\nof quantum thermodynamics; rather, it is a convenient entry point for the\nthermo-curious information theorist. Furthermore this review should facilitate\nthe unification and understanding of different interdisciplinary approaches\nemerging in research groups around the world.\",\"John Goold, Marcus Huber, Arnau Riera, Lídia del Rio, Paul Skrzypczyk\",arXiv,quant-ph,the role of_quantum information in thermodynamics\n\"Tutorial: Remote entanglement protocols for stationary qubits with photonic interfaces - Hans K.C. Beukers, et.al.\",https://arxiv.org/pdf/2310.19878.pdf,,\"Tutorial: Remote entanglement protocols for stationary qubits with\n  photonic interfaces\",\"Generating entanglement between distant quantum systems is at the core of\nquantum networking. In recent years, numerous theoretical protocols for remote\nentanglement generation have been proposed, of which many have been\nexperimentally realized. Here, we provide a modular theoretical framework to\nelucidate the general mechanisms of photon-mediated entanglement generation\nbetween single spins in atomic or solid-state systems. Our framework\ncategorizes existing protocols at various levels of abstraction and allows for\ncombining the elements of different schemes in new ways. These abstraction\nlayers make it possible to readily compare protocols for different quantum\nhardware. To enable the practical evaluation of protocols tailored to specific\nexperimental parameters, we have devised numerical simulations based on the\nframework with our codes available online.\",\"Hans K. C. Beukers, Matteo Pasini, Hyeongrak Choi, Dirk Englund, Ronald Hanson, Johannes Borregaard\",arXiv,quant-ph,\"tutorial : remote entanglement protocols for stationary qubits with photonic interfaces - hans k.c . beukers , .\"\n\"Two-photon interference the Hong-Ou-Mandel effect - FrédÉric Bouchard, Alicia Sit, Yingwen Zhang, Robert Fickler, Filippo M. Miatto,...\",https://arxiv.org/abs/2006.09335,,Two-photon interference: the Hong-Ou-Mandel effect,\"Nearly 30 years ago, two-photon interference was observed, marking the\nbeginning of a new quantum era. Indeed, two-photon interference has no\nclassical analogue, giving it a distinct advantage for a range of applications.\nThe peculiarities of quantum physics may now be used to our advantage to\noutperform classical computations, securely communicate information, simulate\nhighly complex physical systems and increase the sensitivity of precise\nmeasurements. This separation from classical to quantum physics has motivated\nphysicists to study two-particle interference for both fermionic and bosonic\nquantum objects. So far, two-particle interference has been observed with\nmassive particles, among others, such as electrons and atoms, in addition to\nplasmons, demonstrating the extent of this effect to larger and more complex\nquantum systems. A wide array of novel applications to this quantum effect is\nto be expected in the future. This review will thus cover the progress and\napplications of two-photon (two-particle) interference over the last three\ndecades.\",\"FrédÉric Bouchard, Alicia Sit, Yingwen Zhang, Robert Fickler, Filippo M. Miatto, Yuan Yao, Fabio Sciarrino, Ebrahim Karimi\",arXiv,\"quant-ph, physics.optics\",\"yingwen_zhang robert_fickler - photon interference the hong - ou - mandel effect - frédéric bouchard , alicia sit , yingwen zhang , robert fickler , filippo m. miatto , ...\"\nEnergy & Information - Myron Tribus and Edward C. McIrvine,https://www.jstor.org/stable/24923125?saml_data=eyJzYW1sVG9rZW4iOiIzYThiNDZlMi1iZGVhLTRlMGQtOGExOC03YzQ2ZDZkNzQyNWQiLCJpbnN0aXR1dGlvbklkcyI6WyJiN2JlMjYxZS1hOWVhLTRiZGYtOWVjNS00ZWVkN2NhNTI5NzIiXX0#metadata_info_tab_contents,,Unknown,Unknown,Unknown,Unknown,Unknown,energy_&_information_-_myron edward_c._mcirvine energy & information - myron tribus and edward c. mcirvine\n\"Simple Proof of Security of the BB84 Quantum Key Distribution Protocol -Peter W. Shor, John Preskill\",https://arxiv.org/abs/quant-ph/0003004,,Unknown,Unknown,Unknown,Unknown,Unknown,\"w._shor john_preskill simple proof of security of the quantum key distribution protocol -peter w. shor , john preskill\"\n2D materials for quantum information science,https://www.nature.com/articles/s41578-019-0136-x,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown,materials for_quantum information science\nEnergy & Information,https://www.jstor.org/stable/24923125,Physical Information,Unknown,Unknown,Unknown,Unknown,Unknown,energy_&_information energy & information\n\"Entanglement in Many-Body Systems - Luigi Amico, Rosario Fazio, Vlatko Vedral\",https://arxiv.org/pdf/quant-ph/0703044.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,\"rosario_fazio entanglement in many - body systems_- luigi amico , rosario fazio , vlatko_vedral\"\nEstablishing the quantum supremacy frontier with a 281 Pflop/s simulation,https://iopscience.iop.org/article/10.1088/2058-9565/ab7eeb/pdf?casa_token=fqUuMeRiHW8AAAAA:-qCFEf4B8q71vIHgiBtzWC_CMtpzILLTB5PaGoVOSn-EugRt6crwFnEY65HH3AwY_zVOkq2gmQ,,Unknown,Unknown,Unknown,Unknown,Unknown,establishing the quantum supremacy frontier with_a pflop / s simulation\nEnergy-Efficient Superconducting Computing—Power Budgets and Requirements,https://ieeexplore.ieee.org/abstract/document/6449287,,Unknown,Unknown,Unknown,Unknown,Unknown,energy - efficient superconducting computing — power budgets and requirements\n\"Scheme for reducing decoherence in quantum computer memory, Peter W. Shor\",https://www.cs.miami.edu/home/burt/learning/Csc670.052/pR2493_1.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,\"peter_w. scheme for reducing decoherence in_quantum computer memory , peter w. shor\"\n\"Experimental violation of Bell inequalities for multi-dimensional systems - Hsin-Pin Lo1, Che-Ming Li2, AtsushiYabushita1, Yueh-NanChen3, Chih-Wei Luo1 & Takayoshi Kobayashi\",https://www.nature.com/articles/srep22088,,Unknown,Unknown,Unknown,Unknown,Unknown,\"lo1 atsushiyabushita1 chih-wei experimental violation of bell inequalities for multi - dimensional systems_- hsin - pin , che - ming li2 , , yueh - nanchen3 , chih - wei luo1 & takayoshi kobayashi\"\nQuantum information processing with bosonic qubits in circuit QED,https://iopscience.iop.org/article/10.1088/2058-9565/abe989/pdf,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown,quantum_information processing with bosonic qubits in circuit qed\nQuantum Computing,https://arxiv.org/abs/quant-ph/9708022,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown,quantum_computing\nThe Future of Quantum Computing with Superconducting Qubits,https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown,the future of_quantum computing_with superconducting_qubits\n\"Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits - Ming Gong, Xiao Yuan, Shiyu Wang, Yulin Wu, ...\",https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiH6f7Sk8n5AhW6S0EAHYpcCL0QFnoECAsQAQ&url=https%3A%2F%2Fora.ox.ac.uk%2Fobjects%2Fuuid%3A5b2e5204-7746-4569-807e-77654a77313a%2Ffiles%2Fs0v838175c&usg=AOvVaw3l2-7GFf0m6Fw14IpYljjx,,Unknown,Unknown,Unknown,Unknown,Unknown,\"shiyu_wang yulin_wu experimental exploration of - qubit quantum error - correcting code with_superconducting qubits_- ming gong , xiao yuan , shiyu wang , yulin wu , ...\"\nAn energy efficient multipliers using reversible gates,https://www.researchgate.net/publication/347857423_An_energy_efficient_multipliers_using_reversible_gates,,Unknown,Unknown,Unknown,Unknown,Unknown,an energy efficient multipliers using reversible gates\nA generalization of the stabilizer formalism for simulating arbitrary quantum circuits - Theodore J. Yoder,https://www.scottaaronson.com/showcase2/report/ted-yoder.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,a generalization of the stabilizer formalism for simulating arbitrary quantum circuits - theodore j. yoder\nQuantum Optical Neural Networks (Patent Application),https://patentimages.storage.googleapis.com/fa/61/94/ec20dc003a6517/US20200372334A1.pdf,Quantum Neural Networks (QNNs),Unknown,Unknown,Unknown,Unknown,Unknown,quantum_optical_neural_networks quantum optical neural networks ( patent application )\nQuantum computing at the frontiers of biological sciences,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254820/,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown,quantum_computing at the frontiers of biological sciences\nA Review of Quantum Computer Energy Efficiency,https://ieeexplore.ieee.org/abstract/document/8767125,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown,a review of_quantum computer energy efficiency\nLinear growth of quantum circuit complexity,https://www.nature.com/articles/s41567-022-01539-6,Quantum Algorithms,Unknown,Unknown,Unknown,Unknown,Unknown,linear growth of_quantum circuit complexity\nSolid-state single-photon emitters,http://ciqm.harvard.edu/uploads/2/3/3/4/23349210/aharanovich_2016.pdf,Quantum Hardware & Implementation,Unknown,Unknown,Unknown,Unknown,Unknown,solid - state single - photon emitters\nGreen Networking Metrics,https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Clemm-Dong-Mirsky-Ciavaglia-Tantsura-Odini_Green-Networking-Metrics.pdf,Energy & Sustainability in Quantum Computing,Unknown,Unknown,Unknown,Unknown,Unknown,green networking metrics\n\"18th Conference on the Theory of Quantum Computation, Communication and Cryptography\",https://inspirehep.net/files/36042b35a0a8b68d0c63390592af9491,,Unknown,Unknown,Unknown,Unknown,Unknown,\"conference on the theory_of quantum computation , communication and cryptography\"\n\"A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms - Javier Mancilla, Christophe Pere\",https://www.mdpi.com/1099-4300/24/11/1656,,Unknown,Unknown,Unknown,Unknown,Unknown,\"a preprocessing perspective for_quantum machine_learning classification advantage in finance using nisq algorithms - javier mancilla , christophe pere\"\nA Tutorial on Quantum Error Correction - Andrew M. Steane,https://www2.physics.ox.ac.uk/sites/default/files/ErrorCorrectionSteane06.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,andrew_m._steane a tutorial on quantum_error correction_- andrew m. steane\n\"An Algebraic Language for Distributed Quantum Computing - Mingsheng Ying, Yuan Feng\",https://ieeexplore.ieee.org/document/4745631,,Unknown,Unknown,Unknown,Unknown,Unknown,\"mingsheng_ying yuan_feng an algebraic language for distributed_quantum computing_- mingsheng ying , yuan feng\"\nPhotonic resource state generation from a minimal number of quantum emitters,https://www.nature.com/articles/s41534-022-00522-6,Quantum Photonics,Unknown,Unknown,Unknown,Unknown,Unknown,photonic resource state generation from a minimal number of_quantum emitters\nAdvances in Silicon Quantum Photonics - Jeremy C. Adcock; Jueming Bao; Yulin Chi; Xiaojiong Chen; Davide Bacco; Qihuang,https://ieeexplore.ieee.org/document/9205209/authors#authors,,Unknown,Unknown,Unknown,Unknown,Unknown,yulin_chi xiaojiong_chen qihuang advances in silicon quantum photonics - jeremy c. adcock ; jueming bao ; yulin chi ; xiaojiong chen ; davide bacco ;\n\"Error Correcting Codes in Quantum Theory, Andrew Steane\",https://users.physics.ox.ac.uk/~Steane/pubs/Steane_PRL95.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,\"error correcting codes in_quantum theory , andrew_steane\"\nThe Physical Implementation of Quantum Computation,https://arxiv.org/abs/quant-ph/0002077,Quantum Computing Fundamentals,Unknown,Unknown,Unknown,Unknown,Unknown,the physical implementation of_quantum computation\nQuantum computational advantage with a programmable photonic processor,https://www.nature.com/articles/s41586-022-04725-x,Quantum Supremacy & Computational Advantage,Unknown,Unknown,Unknown,Unknown,Unknown,quantum_computational advantage with_a programmable photonic processor\nThe Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics - Vlatko Vedral,https://www.mdpi.com/2624-960X/5/2/31,,Unknown,Unknown,Unknown,Unknown,Unknown,the everything - is - a - quantum - wave interpretation of_quantum physics - vlatko_vedral\n\"The Future of Quantum Computing with Superconducting Qubits - Sergey Bravyi, Oliver Dial, Jay M. Gambetta, Dar ́ıo Gil, and Zaira Nazario1\",https://pubs.aip.org/aip/jap/article/132/16/160902/2837574/The-future-of-quantum-computing-with?gad_source=1&gclid=CjwKCAjwzN-,,Unknown,Unknown,Unknown,Unknown,Unknown,\"oliver_dial jay_m._gambetta zaira_nazario1 the future of_quantum computing_with superconducting_qubits - sergey bravyi , oliver dial , jay m. gambetta , dar ́ıo gil , and zaira nazario1\"\n\"Generation of broadband correlated photon-pairs in short thin-film lithium-niobate waveguides - Bradley S. Elkus, et. al\",https://opg.optica.org/directpdfaccess/02ed958b-dc38-449c-b5d94c4360c660b2_424684/oe-27-26-38521.pdf?da=1&id=424684&seq=0&mobile=no,,Unknown,Unknown,Unknown,Unknown,Unknown,\"al generation of broadband correlated photon - pairs in short thin - film lithium - niobate waveguides - bradley s. elkus , et .\"\nField-linked resonances of polar molecules,https://www.nature.com/articles/s41586-022-05651-8,,Unknown,Unknown,Unknown,Unknown,Unknown,field - linked resonances of polar molecules\n\"Request_Scheduling_in_Quantum_Networks - C. Cicconetti, M. Conti, and A. Passarella\",https://www.researchgate.net/publication/352621787_Request_Scheduling_in_Quantum_Networks,,Unknown,Unknown,Unknown,Unknown,Unknown,\"a._passarella request_scheduling_in_quantum_networks - c. cicconetti , m. conti , and a. passarella\"\n\"Reducing Green House Gas Emissions With Congestion Control - Michael Welzl, Ozgu Alay, Peyman Teymoori, Safiqul Islam\",https://github.com/intarchboard/e-impact-workshop-public/blob/main/papers/Welzel-Alay-Teymoori-Islam_Reducing-Green-House-Gas-Emissions-With-Congestion-Control-v2.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,\"peyman_teymoori reducing green house gas emissions with congestion control - michael welzl , ozgu alay , peyman teymoori , safiqul\"\nQuantum supremacy using a programmable superconducting processor,https://www.nature.com/articles/s41586-019-1666-5,Quantum Supremacy & Computational Advantage,Unknown,Unknown,Unknown,Unknown,Unknown,quantum supremacy using a programmable superconducting processor\nQuantum communications and cryptography,https://people.bu.edu/alexserg/Impression_Book.pdf,Quantum Communication & Cryptography,Unknown,Unknown,Unknown,Unknown,Unknown,quantum communications and cryptography\n\"Discrete simulation of quantum walks - Madita Willsch, Dennis Willsch, Kristel Michielsen, and Hans De Raedt\",https://www.frontiersin.org/articles/10.3389/fphy.2020.00145/full,,Unknown,Unknown,Unknown,Unknown,Unknown,\"dennis_willsch kristel_michielsen hans_de_raedt discrete simulation of_quantum walks - madita willsch , dennis willsch , kristel michielsen , and hans de raedt\"\nOn the CNOT-cost of TOFFOLI gates,https://dl.acm.org/doi/10.5555/2011791.2011799,Quantum Circuits,Unknown,Unknown,Unknown,Unknown,Unknown,on the cnot - cost of toffoli gates\nTransitioning organizations to post-quantum cryptography,https://www.nature.com/articles/s41586-022-04623-2,Quantum Communication & Cryptography,Unknown,Unknown,Unknown,Unknown,Unknown,transitioning organizations to post - quantum cryptography\nDistribution of entanglement in large-scale quantum networks,https://iopscience.iop.org/article/10.1088/0034-4885/76/9/096001/pdf,Quantum Entanglement & Teleportation,Unknown,Unknown,Unknown,Unknown,Unknown,distribution of entanglement in large - scale quantum_networks\nGeneralized GHZ States and Distributed Quantum Computing,https://arxiv.org/abs/quant-ph/0402148,Quantum Entanglement & Teleportation,Unknown,Unknown,Unknown,Unknown,Unknown,generalized ghz states and distributed_quantum computing\nSubstituting Quantum Entanglement for Communication,https://arxiv.org/pdf/quant-ph/9704026,Quantum Entanglement & Teleportation,Unknown,Unknown,Unknown,Unknown,Unknown,substituting quantum entanglement for communication\nImplementing Post-quantum Cryptography for Developers,https://www.scitepress.org/Papers/2022/107862/107862.pdf,Quantum Communication & Cryptography,Unknown,Unknown,Unknown,Unknown,Unknown,implementing post - quantum cryptography for developers\nAn introduction to measurement based quantum computation - Richard Jozsa,https://arxiv.org/abs/quant-ph/0508124,,Unknown,Unknown,Unknown,Unknown,Unknown,richard_jozsa an introduction to measurement based quantum_computation - richard jozsa\n\"The Toric Code, Paul Herringer\",https://www.physics.rutgers.edu/grad/602/Lectures/JC_Presentations/0419/Intro_Toric_Code.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,\"paul_herringer the toric code , paul herringer\"\nQuantum simulator enables first microscopic observation of charge carriers pairing,https://www.mpq.mpg.de/6803661/01-magnetic-pairing,Ion Traps,Unknown,Unknown,Unknown,Unknown,Unknown,quantum simulator enables microscopic observation of charge carriers pairing\n\"Topological quantum memory - Eric Dennis,Alexei Kitaev,Andrew Landahl,and John Preskill\",https://arxiv.org/abs/quant-ph/0110143,,Unknown,Unknown,Unknown,Unknown,Unknown,\"eric_dennis andrew_landahl john_preskill topological quantum memory - eric dennis , alexei kitaev , andrew landahl , and john preskill\"\n\"Universal and operational benchmarking of quantum memories - Xiao Yuan, Yunchao Liu, Qi Zhao, Bartosz Regula, Jayne Thompson and Mile Gu\",https://bartoszregula.me/pdf/s41534-021-00444-9.pdf,,Unknown,Unknown,Unknown,Unknown,Unknown,\"yunchao_liu qi_zhao jayne_thompson mile_gu universal and operational benchmarking of_quantum memories - xiao yuan , yunchao liu , qi zhao , bartosz regula , jayne thompson and mile gu\"\nQuantum principal component analysis,https://www.nature.com/articles/nphys3029#Sec2,Quantum Algorithms,Unknown,Unknown,Unknown,Unknown,Unknown,quantum principal component analysis\n\"How many qubits are needed for quantum computational supremacy? - Alexander M. Dalzell1, Aram W. Harrow, Dax Enshan Koh, and Rolando L. La Placa\",https://quantum-journal.org/papers/q-2020-05-11-264/,,Unknown,Unknown,Unknown,Unknown,Unknown,\"alexander_m._dalzell1 aram_w._harrow rolando_l._la how many qubits are needed for_quantum computational supremacy ? - alexander m. dalzell1 , aram w. harrow , dax enshan koh , and rolando l. la placa\"\n\"Implementing the quantum random walk - B. C. Travaglione, G. J. Milburn\",https://arxiv.org/abs/quant-ph/0109076,,Unknown,Unknown,Unknown,Unknown,Unknown,\"-_b._c._travaglione g._j._milburn implementing the quantum random walk - b. c. travaglione , g. j. milburn\"\nMemory cost of quantum protocols,https://www.researchgate.net/publication/51965796_Memory_cost_of_quantum_protocols,Quantum Memories,Unknown,Unknown,Unknown,Unknown,Unknown,memory cost of_quantum protocols\nExperimental exploration of five-qubit quantum error-correcting code with superconducting qubits,https://ora.ox.ac.uk/objects/uuid:5b2e5204-7746-4569-807e-77654a77313a/files/s0v838175c,Quantum Error Correction,Unknown,Unknown,Unknown,Unknown,Unknown,experimental exploration of - qubit quantum error - correcting code with_superconducting qubits\n\"Channel Waveguides in Lithium Niobate and Lithium Tantalate- Yi Lu, Benjamin Johnston, Peter Dekker, Michael J Withford, Judith M Dawes\",https://pubmed.ncbi.nlm.nih.gov/32867367/,,Unknown,Unknown,Unknown,Unknown,Unknown,\"benjamin_johnston peter_dekker michael_j_withford judith_m channel waveguides in lithium_niobate and lithium tantalate- yi lu , benjamin johnston , peter dekker , michael j withford , judith m dawes\"\nOptimal architectures for long distance quantum communication,https://www.nature.com/articles/srep20463,Quantum Repeater Architectures,Unknown,Unknown,Unknown,Unknown,Unknown,optimal architectures for long distance quantum_communication\nStabilizer Codes and Quantum Error Correction -Thesis by Daniel Gottesman,https://arxiv.org/abs/quant-ph/9705052,,Unknown,Unknown,Unknown,Unknown,Unknown,daniel_gottesman stabilizer codes and quantum_error correction -thesis by daniel gottesman\nMultiple Particle Interference and Quantum Error Correction - Andrew Steane,https://arxiv.org/abs/quant-ph/9601029Multiplexed quantum repeaters,,Unknown,Unknown,Unknown,Unknown,Unknown,multiple particle interference and quantum_error correction_- andrew_steane\n\"Multiple Particle Interference and Quantum Error Correction, Andrew Steane\",https://arxiv.org/abs/quant-ph/9601029,,Unknown,Unknown,Unknown,Unknown,Unknown,\"multiple particle interference and quantum_error correction , andrew_steane\"\nWhy Philosophers Should Care About Computational Complexity,https://arxiv.org/abs/1108.1791,Commercial and Philosophical Views,Why Philosophers Should Care About Computational Complexity,\"One might think that, once we know something is computable, how efficiently\nit can be computed is a practical question with little further philosophical\nimportance. In this essay, I offer a detailed case that one would be wrong. In\nparticular, I argue that computational complexity theory -- the field that\nstudies the resources (such as time, space, and randomness) needed to solve\ncomputational problems -- leads to new perspectives on the nature of\nmathematical knowledge, the strong AI debate, computationalism, the problem of\nlogical omniscience, Hume's problem of induction, Goodman's grue riddle, the\nfoundations of quantum mechanics, economic rationality, closed timelike curves,\nand several other topics of philosophical interest. I end by discussing aspects\nof complexity theory itself that could benefit from philosophical analysis.\",Scott Aaronson,arXiv,\"cs.CC, quant-ph\",why philosophers should care about computational complexity\nlambeq: An Efficient High-Level Python Library for Quantum NLP,https://arxiv.org/abs/2110.04236,Natural Language Processing & Quantum Computing,lambeq: An Efficient High-Level Python Library for Quantum NLP,\"We present lambeq, the first high-level Python library for Quantum Natural\nLanguage Processing (QNLP). The open-source toolkit offers a detailed hierarchy\nof modules and classes implementing all stages of a pipeline for converting\nsentences to string diagrams, tensor networks, and quantum circuits ready to be\nused on a quantum computer. lambeq supports syntactic parsing, rewriting and\nsimplification of string diagrams, ansatz creation and manipulation, as well as\na number of compositional models for preparing quantum-friendly representations\nof sentences, employing various degrees of syntax sensitivity. We present the\ngeneric architecture and describe the most important modules in detail,\ndemonstrating the usage with illustrative examples. Further, we test the\ntoolkit in practice by using it to perform a number of experiments on simple\nNLP tasks, implementing both classical and quantum pipelines.\",\"Dimitri Kartsaklis, Ian Fan, Richie Yeung, Anna Pearson, Robin Lorenz, Alexis Toumi, Giovanni de Felice, Konstantinos Meichanetzidis, Stephen Clark, Bob Coecke\",arXiv,\"cs.CL, cs.AI, quant-ph\",lambeq : an efficient high - level python library for_quantum nlp\n"
  },
  {
    "path": "i18n/en.json",
    "content": "{\n    \"app\": {\n    \"title\": \"Quantum Tech Papers\",\n    \"description\": \"Browse the collection of quantum technology papers. Search semantically or filter by category.\",\n    \"end_of_list\": \"End of list\",\n    \"sidebar_title\": \"Navigation\",\n    \"sidebar_navigation\": \"Select Page\",\n    \"home_page_title\": \"Quantum Tech Papers\",\n    \"home_about_title\": \"About This Project\",\n    \"home_about_text_1\": \"This repository contains a list of some of the papers and publications I have read throughout my journey in quantum technologies. I began this project during my undergraduate years, and I currently continue maintaining it in graduate school.\",\n    \"home_about_text_2\": \"The objective of this project is not to curate a list of the most recommended publications for beginners, but rather to build a journal-like record depicting my personal journey through quantum research papers. The topics reflected here often align with my research work and surges of interest throughout my time in this industry. Some recurring areas of focus include:\",\n    \"home_about_topics\": \"Quantum protocol design, Quantum algorithms, The Quantum Internet, Silicon-based quantum technologies, Ion traps, The Hong-Ou-Mandel effect, Quantum circuits, Programmable quantum gates, Quantum error correction & mitigation, Electron-spin states, Commercial and philosophical views on quantum tech, Quantum repeater architectures, Quantum memories, Experimental simulation tools, Quantum markets and hype, Quantum Machine Learning (QML), Constructor theory & Physical information, Quantum Neural Networks (QNNs)\",\n    \"home_about_text_3\": \"I welcome contributions to the Recommended Reads branch and would love to build a strong reading list for beginners through collective input.\"\n  },\n    \"filters\": {\n      \"all\": \"All\",\n      \"select_label\": \"Filter by Category\",\n      \"showing_category\": \"Papers in Category: '{category}'\",\n      \"displaying_n_papers\": \"Displaying {count} papers\",\n      \"select_authors\": \"Filter by Authors\"\n    },\n    \"search\": {\n      \"input_placeholder\": \"Search by keywords (semantic search):\",\n      \"results_title\": \"Results for: '{query}' (Semantic Search)\"\n    },\n    \"paper\": {\n      \"view_paper\": \"View Paper\",\n      \"category\": \"Category\",\n      \"authors\": \"Authors\",\n      \"journal\": \"Journal\",\n      \"keywords\": \"Keywords\",\n      \"show_abstract\": \"Show Abstract\"\n    },\n    \"sidebar\": {\n    \"title\": \"Navigation\",\n    \"select_page\": \"Select a Page\",\n    \"search_page\": \"Search Papers\",\n    \"graph_page\": \"Research Graph\"\n    },\n    \"graph\": {\n      \"title\": \"Research Graph\",\n      \"description\": \"Explore the relationships between authors and papers, as well as papers and keywords. This way, you can discover other research related to your goals.\",\n      \"select_graph_type\": \"Select Graph Type\",\n      \"generate_graph\": \"Generate Graph\",\n      \"author_paper\": \"Author - Paper\",\n      \"keyword_paper\": \"Keyword - Paper\",\n      \"selected_papers_title\": \"Selected Papers\",\n      \"legend_title\": \"Graph Legend\",\n      \"legend_paper\": \"Paper\",\n      \"legend_author\": \"Author\",\n      \"legend_keyword\": \"Keyword\"\n    }\n  }\n  "
  },
  {
    "path": "instruction.md",
    "content": "python pipelines.py --extract --enrich --train"
  },
  {
    "path": "main.py",
    "content": "\"\"\"\nmain.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module serves as the entry point for the Streamlit application. It imports and runs the necessary functions\nto start the Streamlit app and to enrich the dataset of quantum technology research papers incrementally.\n\nFunctions:\n    main() -> None:\n        Runs the Streamlit application.\n\"\"\"\nimport streamlit as st\nfrom app.streamlit_app import run_streamlit_app\nfrom src.enrich_papers_incremental import enrich_incrementally\n\nif __name__ == '__main__':\n    run_streamlit_app()\n"
  },
  {
    "path": "packages.txt",
    "content": " build-essential\npkg-config\ndefault-libmysqlclient-dev"
  },
  {
    "path": "pipelines.py",
    "content": "\"\"\"\npipelines.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module provides a command-line interface for various tasks related to the Quantum Tech Papers Dashboard.\nIt includes options for extracting data from README, enriching the dataset incrementally, and training models.\n\nFunctions:\n    load_config(config_path=\"config.yaml\") -> dict:\n        Loads the configuration from a YAML file.\n\n    main() -> None:\n        Parses command-line arguments and executes the corresponding tasks.\n\"\"\"\nimport argparse\nimport yaml\nfrom app.streamlit_app import run_streamlit_app\nfrom src.training import main as train_model_main\nfrom src.enrich_papers_incremental import enrich_incrementally\nfrom src.extract_papers_to_csv import extract_data_from_readme\n\n\ndef load_config(config_path=\"config.yaml\") -> dict:\n    \"\"\"\n    Loads the configuration from a YAML file.\n\n    Parameters:\n    config_path (str): The path to the configuration file. Default is \"config.yaml\".\n\n    Returns:\n    dict: A dictionary containing the configuration settings.\n    \"\"\"\n    with open(config_path, 'r') as f:\n        return yaml.safe_load(f)\n\n\ndef main() -> None:\n    \"\"\"\n    Parses command-line arguments and executes the corresponding tasks.\n\n    Returns:\n    None\n    \"\"\"\n    parser = argparse.ArgumentParser(\n        description=\"Quantum Tech Papers Dashboard\")\n    parser.add_argument(\n        \"--extract\",\n        action=\"store_true\",\n        help=\"Extract data from README.\")\n    parser.add_argument(\n        \"--enrich\",\n        action=\"store_true\",\n        help=\"Fetch metadata from arXiv / CrossRef and update enriched CSV.\")\n    parser.add_argument(\n        \"--train\",\n        action=\"store_true\",\n        help=\"Run the model training pipeline (NER, n-grams, SBERT embeddings).\")\n\n    args = parser.parse_args()\n    config = load_config()\n\n    if args.extract:\n        print(\"Extracting data from README...\")\n        extract_data_from_readme(\n            config['paths']['readme_input'],\n            config['paths']['input_csv'])\n        print(\"Extraction completed successfully.\")\n\n    if args.enrich:\n        print(\"Starting incremental enrichment...\")\n        enrich_incrementally(\n            config['paths']['input_csv'],\n            config['paths']['enriched_csv'])\n        print(\"Enrichment completed successfully.\")\n\n    if args.train:\n        print(\"Starting the model training pipeline...\")\n        train_model_main(config)\n        print(\"Training completed successfully.\")\n\n    if not any([args.extract, args.enrich, args.train]):\n        print(\"No valid option provided. Use --extract, --train, or --enrich.\")\n\n\nif __name__ == \"__main__\":\n    main()\n"
  },
  {
    "path": "requirements.txt",
    "content": "streamlit\nscikit-learn\npandas\nplotly\nnetworkx\nsentence-transformers\ngensim\nspacy"
  },
  {
    "path": "src/__init__.py",
    "content": ""
  },
  {
    "path": "src/config_loader.py",
    "content": "\"\"\"\nconfig_loader.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains functions for loading configuration files and text resources for the application.\n\nFunctions:\n    load_config(config_path='config.yaml') -> dict:\n        Loads the configuration from a YAML file.\n\n    load_texts(language='en', base_path='i18n') -> dict:\n        Loads text resources from a JSON file based on the specified language.\n\"\"\"\nimport yaml\nimport json\n\n\ndef load_config(config_path='config.yaml') -> dict:\n    \"\"\"\n    Loads the configuration from a YAML file.\n\n    Parameters:\n    config_path (str): The path to the configuration file. Default is 'config.yaml'.\n\n    Returns:\n    dict: A dictionary containing the configuration settings.\n    \"\"\"\n    with open(config_path, 'r') as f:\n        return yaml.safe_load(f)\n\n\ndef load_texts(language='en', base_path='i18n') -> dict:\n    \"\"\"\n    Loads text resources from a JSON file based on the specified language.\n\n    Parameters:\n    language (str): The language code for the text resources. Default is 'en'.\n    base_path (str): The base path to the directory containing the text resource files. Default is 'i18n'.\n\n    Returns:\n    dict: A dictionary containing the text resources.\n    \"\"\"\n    path = f\"{base_path}/{language}.json\"\n    with open(path, 'r', encoding='utf-8') as f:\n        return json.load(f)\n"
  },
  {
    "path": "src/enrich_papers_incremental.py",
    "content": "\"\"\"\nenrich_papers_incremental.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains functions for extracting metadata from arXiv and CrossRef (DOI) URLs and enriching a dataset of quantum technology research papers incrementally.\n\nFunctions:\n    extract_arxiv_id(url) -> str:\n        Extracts the arXiv ID from a given paper URL.\n\n    extract_doi_from_url(url) -> str:\n        Extracts the DOI from a given paper URL.\n\n    get_arxiv_metadata(arxiv_id) -> dict:\n        Retrieves paper metadata from the arXiv API.\n\n    get_crossref_metadata(doi) -> dict:\n        Retrieves paper metadata from the CrossRef API using a DOI.\n\n    fetch_paper_metadata(url) -> dict:\n        Fetches paper metadata by detecting if it is from arXiv or CrossRef (DOI).\n\n    enrich_incrementally(input_csv='data/inputs/papers_data.csv', enriched_csv='data/enriched/papers_data_enriched.csv') -> None:\n        Enriches the dataset of quantum technology research papers incrementally by fetching metadata for new papers.\n\"\"\"\nimport re\nimport requests\nimport pandas as pd\nimport time\nimport os\n\n\ndef extract_arxiv_id(url) -> str:\n    \"\"\"\n    Extract the arXiv ID from a given paper URL.\n\n    Parameters:\n    url (str): Paper URL.\n\n    Returns:\n    str: arXiv ID or None if not found.\n    \"\"\"\n    match = re.search(r'arxiv\\.org/(abs|pdf)/([0-9]+\\.[0-9]+)', url)\n    if match:\n        return match.group(2)\n    return None\n\n\ndef extract_doi_from_url(url) -> str:\n    \"\"\"\n    Extract the DOI from a given paper URL.\n\n    Parameters:\n    url (str): Paper URL.\n\n    Returns:\n    str: DOI string or None if not found.\n    \"\"\"\n    match = re.search(r'10\\.\\d{4,9}/[-._;()/:A-Za-z0-9]+', url)\n    if match:\n        return match.group(0)\n    return None\n\n\ndef get_arxiv_metadata(arxiv_id) -> dict:\n    \"\"\"\n    Retrieve paper metadata from the arXiv API.\n\n    Parameters:\n    arxiv_id (str): arXiv paper identifier.\n\n    Returns:\n    dict: Dictionary containing metadata or None if request fails.\n    \"\"\"\n    url = f\"https://export.arxiv.org/api/query?id_list={arxiv_id}\"\n    response = requests.get(url)\n    if response.status_code != 200:\n        return None\n\n    import xml.etree.ElementTree as ET\n    root = ET.fromstring(response.text)\n    ns = {'arxiv': 'http://www.w3.org/2005/Atom'}\n\n    entry = root.find('arxiv:entry', ns)\n    if entry is None:\n        return None\n\n    title = entry.find('arxiv:title', ns).text.strip()\n    abstract = entry.find('arxiv:summary', ns).text.strip()\n    authors = ', '.join([author.find(\n        'arxiv:name', ns).text for author in entry.findall('arxiv:author', ns)])\n    categories = ', '.join([cat.attrib['term']\n                           for cat in entry.findall('arxiv:category', ns)])\n    keywords = categories if categories else \"Unknown\"\n\n    return {\n        \"title\": title,\n        \"abstract\": abstract,\n        \"authors\": authors,\n        \"journal\": \"arXiv\",\n        \"keywords\": keywords\n    }\n\n\ndef get_crossref_metadata(doi) -> dict:\n    \"\"\"\n    Retrieve paper metadata from the CrossRef API using a DOI.\n\n    Parameters:\n    doi (str): DOI of the paper.\n\n    Returns:\n    dict: Dictionary containing metadata or None if request fails.\n    \"\"\"\n    url = f\"https://api.crossref.org/works/{doi}\"\n    response = requests.get(url)\n    if response.status_code != 200:\n        return None\n\n    data = response.json().get('message', {})\n    title = data.get('title', [\"Unknown\"])[0]\n    abstract = data.get('abstract', \"Unknown\")\n    authors = ', '.join([f\"{a.get('given', '')} {a.get('family', '')}\".strip(\n    ) for a in data.get('author', [])])\n    journal = data.get('container-title', [\"Unknown\"])[0]\n    keywords = ', '.join(\n        data.get(\n            'subject',\n            [])) if 'subject' in data else \"Unknown\"\n\n    abstract = re.sub(r'<[^>]*>', '', abstract)\n\n    return {\n        \"title\": title,\n        \"abstract\": abstract,\n        \"authors\": authors,\n        \"journal\": journal,\n        \"keywords\": keywords\n    }\n\n\ndef fetch_paper_metadata(url):\n    \"\"\"\n    Fetch paper metadata by detecting if it is from arXiv or CrossRef (DOI).\n\n    Parameters:\n    url (str): Paper URL.\n\n    Returns:\n    dict: Metadata dictionary with title, abstract, authors, journal, and keywords.\n    \"\"\"\n    arxiv_id = extract_arxiv_id(url)\n    doi = extract_doi_from_url(url)\n\n    if arxiv_id:\n        metadata = get_arxiv_metadata(arxiv_id)\n        if metadata:\n            return metadata\n\n    if doi:\n        metadata = get_crossref_metadata(doi)\n        if metadata:\n            return metadata\n\n    return {\n        \"title\": \"Unknown\",\n        \"abstract\": \"Unknown\",\n        \"authors\": \"Unknown\",\n        \"journal\": \"Unknown\",\n        \"keywords\": \"Unknown\"\n    }\n\n\ndef enrich_incrementally(\n        input_csv='data/inputs/papers_data.csv',\n        enriched_csv='data/enriched/papers_data_enriched.csv') -> None:\n    \"\"\"\n    Enriches the dataset of quantum technology research papers incrementally by fetching metadata for new papers.\n\n    Parameters:\n    input_csv (str): Path to the input CSV file containing paper data. Default is 'data/inputs/papers_data.csv'.\n    enriched_csv (str): Path to the enriched CSV file to save the enriched data. Default is 'data/enriched/papers_data_enriched.csv'.\n\n    Returns:\n    None\n    \"\"\"\n    df_new = pd.read_csv(input_csv)\n\n    os.makedirs(os.path.dirname(enriched_csv), exist_ok=True)\n\n    if os.path.exists(enriched_csv):\n        df_enriched = pd.read_csv(enriched_csv)\n    else:\n        df_enriched = pd.DataFrame()\n\n    known_urls = set(df_enriched['Web']) if not df_enriched.empty else set()\n\n    new_rows = []\n    for idx, row in df_new.iterrows():\n        if row['Web'] not in known_urls:\n            print(f\"Fetching metadata for {row['Web']}...\")\n            metadata = fetch_paper_metadata(row['Web'])\n            row_data = {\n                'Title': row['Title'],\n                'Web': row['Web'],\n                'Category': row.get('Category', None),\n                'Fetched_Title': metadata['title'],\n                'Abstract': metadata['abstract'],\n                'Authors': metadata['authors'],\n                'Journal': metadata['journal'],\n                'Keywords': metadata['keywords']\n            }\n            new_rows.append(row_data)\n            # time.sleep(1)\n\n    df_new_entries = pd.DataFrame(new_rows)\n    df_final = pd.concat([df_enriched, df_new_entries], ignore_index=True)\n\n    df_final = df_final.sort_values(by=['Fetched_Title'], na_position='last')\n    df_final = df_final.drop_duplicates(subset='Web', keep='first')\n\n    df_final.to_csv(enriched_csv, index=False)\n    print(f\"Enriched CSV saved to {enriched_csv} with {len(df_final)} entries\")\n"
  },
  {
    "path": "src/extract_papers_to_csv.py",
    "content": "\"\"\"\nextract_papers_to_csv.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains a function for extracting paper data (Title, Web, Category) from a README.md file and saving it to a CSV file.\n\nFunctions:\n    extract_data_from_readme(input_path, output_path) -> None:\n        Extracts paper data (Title, Web, Category) from README.md and saves it to a CSV file.\n\"\"\"\nimport re\nimport csv\nimport os\n\n\ndef extract_data_from_readme(input_path, output_path) -> None:\n    \"\"\"\n    Extract paper data (Title, Web, Category) from README.md and save to CSV.\n\n    Parameters:\n    input_path (str): Path to the README.md file.\n    output_path (str): Path to the output CSV file.\n\n    Returns:\n    None\n    \"\"\"\n    with open(input_path, 'r', encoding='utf-8') as file:\n        content = file.readlines()\n\n    os.makedirs(os.path.dirname(output_path), exist_ok=True)\n\n    papers = []\n    current_category = None\n\n    for line in content:\n        category_match = re.match(r\"### (.+)\", line)\n        if category_match:\n            current_category = category_match.group(1).strip()\n\n        paper_match = re.match(r\"- (.+)\\n\", line)\n        if paper_match:\n            title = paper_match.group(1).strip()\n            next_line_index = content.index(line) + 1\n            if next_line_index < len(content):\n                url_line = content[next_line_index].strip()\n                if url_line.startswith(\"http\"):\n                    papers.append([title, url_line, current_category])\n\n    with open(output_path, 'w', newline='', encoding='utf-8') as csvfile:\n        writer = csv.writer(csvfile)\n        writer.writerow([\"Title\", \"Web\", \"Category\"])\n        writer.writerows(papers)\n\n    print(f\"Data extracted and saved in {output_path}\")\n"
  },
  {
    "path": "src/inference.py",
    "content": "\"\"\"\ninference.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 16-02-2025\n\nThis module contains functions for loading embeddings and models, and for performing semantic and hybrid searches\non quantum technology research papers.\n\nFunctions:\n    load_embeddings_and_model(config) -> tuple:\n        Loads SBERT embeddings, model, training dataframe, TF-IDF vectorizer, and TF-IDF matrix from the specified configuration paths.\n\n    cosine_similarity_numpy(a, b) -> np.ndarray:\n        Computes the cosine similarity between a single vector `a` and a matrix `b`.\n\n    search_papers_semantic(query, train_df, train_embeddings, model, top_k=5) -> pd.DataFrame:\n        Performs a semantic search using SBERT on the training dataframe and returns the top-k results.\n\n    search_papers_exact_boost(query, train_df, train_embeddings, model, top_k=5, boost_weight=0.5) -> pd.DataFrame:\n        Performs a hybrid search combining SBERT semantic similarity with exact match boosting on the training dataframe and returns the top-k results.\n\"\"\"\nimport numpy as np\nfrom sentence_transformers import SentenceTransformer\nimport pickle\nimport pandas as pd\n\n\ndef load_embeddings_and_model(config) -> tuple:\n    \"\"\"\n    Loads SBERT embeddings, model, training dataframe, TF-IDF vectorizer, and TF-IDF matrix from the specified configuration paths.\n\n    Parameters:\n    config (dict): A dictionary containing paths to the SBERT embeddings, SBERT model, training data, TF-IDF vectorizer, and TF-IDF matrix.\n\n    Returns:\n    tuple: A tuple containing the training dataframe, SBERT embeddings, SBERT model, TF-IDF vectorizer, and TF-IDF matrix.\n    \"\"\"\n    with open(config['paths']['sbert_embeddings'], 'rb') as f:\n        embeddings = pickle.load(f)\n\n    model = SentenceTransformer(config['paths']['sbert_model'])\n    train_df = pd.read_csv(config['paths']['train_data_with_clean'])\n\n    with open(config['paths']['tfidf_vectorizer'], 'rb') as f:\n        vectorizer = pickle.load(f)\n\n    with open(config['paths']['tfidf_matrix'], 'rb') as f:\n        X_tfidf = pickle.load(f)\n\n    return train_df, embeddings, model, vectorizer, X_tfidf\n\n\ndef cosine_similarity_numpy(a, b):\n    \"\"\"\n    Computes the cosine similarity between a single vector `a` and a matrix `b`.\n\n    Parameters:\n    a (np.ndarray): A 2D numpy array with shape (1, embedding_dim).\n    b (np.ndarray): A 2D numpy array with shape (num_samples, embedding_dim).\n\n    Returns:\n    np.ndarray: A 1D array containing cosine similarities between `a` and each row in `b`.\n    \"\"\"\n    a_norm = a / np.linalg.norm(a)\n    b_norm = b / np.linalg.norm(b, axis=1, keepdims=True)\n    return np.dot(b_norm, a_norm.T).flatten()\n\n\ndef search_papers_semantic(\n        query,\n        train_df,\n        train_embeddings,\n        model,\n        top_k=5) -> pd.DataFrame:\n    \"\"\"\n    Performs a semantic search using SBERT on the training dataframe and returns the top-k results.\n\n    Parameters:\n    query (str): The search query.\n    train_df (pd.DataFrame): The training dataframe containing research papers.\n    train_embeddings (np.ndarray): The SBERT embeddings for the training dataframe.\n    model (SentenceTransformer): The SBERT model.\n    top_k (int): The number of top results to return. Default is 5.\n\n    Returns:\n    pd.DataFrame: A dataframe containing the top-k search results with their similarity scores.\n    \"\"\"\n    query_embedding = model.encode([query])\n    similarities = cosine_similarity_numpy(query_embedding, train_embeddings)\n    top_indices = similarities.argsort()[-top_k:][::-1]\n\n    results = train_df.iloc[top_indices][['Title',\n                                          'Web',\n                                          'Category',\n                                          'Abstract',\n                                          'Authors',\n                                          'Journal',\n                                          'Keywords']].copy()\n    results['Similarity Score'] = similarities[top_indices]\n    return results\n\n\ndef search_papers_exact_boost(\n        query,\n        train_df,\n        train_embeddings,\n        model,\n        top_k=5,\n        boost_weight=0.5) -> pd.DataFrame:\n    \"\"\"\n    Performs a hybrid search combining SBERT semantic similarity with exact match boosting on the training dataframe and returns the top-k results.\n\n    Parameters:\n    query (str): The search query.\n    train_df (pd.DataFrame): The training dataframe containing research papers.\n    train_embeddings (np.ndarray): The SBERT embeddings for the training dataframe.\n    model (SentenceTransformer): The SBERT model.\n    top_k (int): The number of top results to return. Default is 5.\n    boost_weight (float): The weight to apply to exact matches in the title. Default is 0.5.\n\n    Returns:\n    pd.DataFrame: A dataframe containing the top-k search results with their similarity scores.\n    \"\"\"\n    query_embedding = model.encode([query])\n    similarities_sbert = cosine_similarity_numpy(\n        query_embedding, train_embeddings)\n\n    exact_matches = train_df['Title'].str.contains(\n        query, case=False, na=False).astype(float)\n\n    final_score = similarities_sbert + boost_weight * exact_matches\n\n    top_indices = final_score.argsort()[-top_k:][::-1]\n\n    results = train_df.iloc[top_indices][['Title',\n                                          'Web',\n                                          'Category',\n                                          'Abstract',\n                                          'Authors',\n                                          'Journal',\n                                          'Keywords']].copy()\n    results['Similarity Score'] = final_score[top_indices]\n    return results\n"
  },
  {
    "path": "src/preprocessing.py",
    "content": "\"\"\"\npreprocessing.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains functions for preprocessing text data, including Named Entity Recognition (NER) and n-gram generation,\nto enhance the quality of research paper titles in a dataset.\n\nFunctions:\n    ner_and_join_names(text) -> str:\n        Detects named entities (PERSON, ORG) and joins multi-word names with underscores. Lowercases other tokens.\n\n    generate_ngrams(df) -> pd.DataFrame:\n        Generates bigrams and trigrams from the 'Title' column of the DataFrame.\n\n    apply_ner(df) -> pd.DataFrame:\n        Applies Named Entity Recognition (NER) and multi-word entity joining to the 'title_clean' column.\n\"\"\"\nimport spacy\nfrom gensim.models import Phrases\nfrom gensim.models.phrases import Phraser\n\n\nnlp = spacy.load(\"en_core_web_sm\")\n\n\ndef ner_and_join_names(text) -> str:\n    \"\"\"\n    Detect named entities (PERSON, ORG) and join multi-word names with underscores.\n    Lowercase other tokens.\n\n    Example: \"Isaac Chuang\" -> \"Isaac_Chuang\"\n             \"Fault-tolerant circuits\" -> \"fault-tolerant circuits\"\n\n    Parameters:\n    text (str): Input text (title).\n\n    Returns:\n    str: Cleaned string with multi-word entities joined and text normalized.\n    \"\"\"\n    doc = nlp(text)\n    tokens = []\n\n    for ent in doc.ents:\n        if ent.label_ in {'PERSON', 'ORG'}:\n            tokens.append(ent.text.replace(' ', '_'))\n\n    for token in doc:\n        if token.text not in [e.text for e in doc.ents]:\n            tokens.append(token.text.lower())\n\n    return ' '.join(tokens)\n\n\ndef generate_ngrams(df) -> pd.DataFrame:\n    \"\"\"\n    Generate bigrams and trigrams from the 'Title' column of the DataFrame.\n    This captures common multi-word expressions like \"quantum computing\".\n\n    Parameters:\n    df (pd.DataFrame): DataFrame with 'Title' column.\n\n    Returns:\n    pd.DataFrame: DataFrame with 'title_clean' column containing processed n-grams.\n    \"\"\"\n    sentences = [title.lower().split() for title in df['Title']]\n\n    bigram_model = Phrases(sentences, min_count=2, threshold=3)\n    trigram_model = Phrases(bigram_model[sentences], threshold=3)\n\n    bigram_phraser = Phraser(bigram_model)\n    trigram_phraser = Phraser(trigram_model)\n\n\n    df['title_clean'] = [\n        ' '.join(trigram_phraser[bigram_phraser[sent]]) for sent in sentences]\n\n    return df\n\n\ndef apply_ner(df) -> pd.DataFrame:\n    \"\"\"\n    Apply Named Entity Recognition (NER) and multi-word entity joining to 'title_clean' column.\n\n    Parameters:\n    df (pd.DataFrame): DataFrame with 'title_clean' column.\n\n    Returns:\n    pd.DataFrame: DataFrame with NER-processed 'title_clean' column.\n    \"\"\"\n    df['title_clean'] = df['title_clean'].apply(ner_and_join_names)\n    return df\n"
  },
  {
    "path": "src/training.py",
    "content": "\"\"\"\ntraining.py\n\nAuthor: Ricard Santiago Raigada García\nDate: 15-02-2025\n\nThis module contains functions for training and saving models and embeddings for quantum technology research papers.\n\nFunctions:\n    train_tfidf(train_df, stop_words=None) -> tuple:\n        Trains and fits a TF-IDF vectorizer.\n\n    train_sbert_and_embed(train_df, model_name='all-MiniLM-L6-v2') -> tuple:\n        Trains SBERT and creates embeddings.\n\n    save_artifacts(vectorizer, X_tfidf, sbert_model, sbert_embeddings, train_df, config) -> None:\n        Saves trained models, embeddings, and preprocessed data.\n\n    main(config) -> None:\n        Main function to execute the training pipeline.\n\"\"\"\nimport os\nimport pickle\nimport pandas as pd\nfrom gensim.models import Phrases\nfrom gensim.models.phrases import Phraser\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sentence_transformers import SentenceTransformer\nfrom src.preprocessing import generate_ngrams, apply_ner\n\n\ndef train_tfidf(train_df, stop_words=None) -> tuple:\n    \"\"\"\n    Train and fit a TF-IDF vectorizer.\n\n    Parameters:\n    train_df (pd.DataFrame): DataFrame containing the training data with 'title_clean' column.\n    stop_words (set): Set of stop words to exclude from the TF-IDF vectorizer. Default is None.\n\n    Returns:\n    tuple: A tuple containing the fitted TF-IDF vectorizer and the TF-IDF matrix.\n    \"\"\"\n    if stop_words is None:\n        stop_words = {\n            'quantum',\n            'information',\n            'computing',\n            'system',\n            'systems',\n            'using',\n            'based',\n            'study',\n            'approach'}\n\n    vectorizer = TfidfVectorizer(\n        stop_words=list(stop_words),\n        max_df=0.9,\n        min_df=2,\n        ngram_range=(\n            1,\n            2))\n    X_tfidf = vectorizer.fit_transform(train_df['title_clean'])\n\n    return vectorizer, X_tfidf\n\n\ndef train_sbert_and_embed(train_df, model_name='all-MiniLM-L6-v2') -> tuple:\n    \"\"\"\n    Train SBERT and create embeddings.\n\n    Parameters:\n    train_df (pd.DataFrame): DataFrame containing the training data with 'title_clean' column.\n    model_name (str): Name of the SBERT model to use. Default is 'all-MiniLM-L6-v2'.\n\n    Returns:\n    tuple: A tuple containing the SBERT model and the embeddings.\n    \"\"\"\n    model = SentenceTransformer(model_name)\n    embeddings = model.encode(\n        train_df['title_clean'].tolist(),\n        show_progress_bar=True)\n    return model, embeddings\n\n\ndef save_artifacts(\n        vectorizer,\n        X_tfidf,\n        sbert_model,\n        sbert_embeddings,\n        train_df,\n        config) -> None:\n    \"\"\"\n    Save trained models, embeddings, and preprocessed data.\n\n    Parameters:\n    vectorizer (TfidfVectorizer): The fitted TF-IDF vectorizer.\n    X_tfidf (scipy.sparse.csr.csr_matrix): The TF-IDF matrix.\n    sbert_model (SentenceTransformer): The trained SBERT model.\n    sbert_embeddings (numpy.ndarray): The SBERT embeddings.\n    train_df (pd.DataFrame): The DataFrame containing the training data with 'title_clean' column.\n    config (dict): Configuration dictionary containing paths for saving artifacts.\n\n    Returns:\n    None\n    \"\"\"\n    output_dir = config['paths']['output_dir']\n\n    os.makedirs(output_dir, exist_ok=True)\n\n    with open(config['paths']['tfidf_vectorizer'], 'wb') as f:\n        pickle.dump(vectorizer, f)\n\n    with open(config['paths']['tfidf_matrix'], 'wb') as f:\n        pickle.dump(X_tfidf, f)\n\n    with open(config['paths']['sbert_embeddings'], 'wb') as f:\n        pickle.dump(sbert_embeddings, f)\n\n    sbert_model.save(config['paths']['sbert_model'])\n\n    train_df.to_csv(config['paths']['train_data_with_clean'], index=False)\n\n    print(f\"Artifacts saved in '{output_dir}'\")\n\n\ndef main(config) -> None:\n    \"\"\"\n    Main function to execute the training pipeline.\n\n    Parameters:\n    config (dict): Configuration dictionary containing paths for input data and saving artifacts.\n\n    Returns:\n    None\n    \"\"\"\n    df = pd.read_csv(config['paths']['enriched_csv'])\n\n    train_df = generate_ngrams(df)\n    train_df = apply_ner(train_df)\n\n    vectorizer, X_tfidf = train_tfidf(train_df)\n\n    sbert_model, sbert_embeddings = train_sbert_and_embed(train_df)\n\n    save_artifacts(\n        vectorizer,\n        X_tfidf,\n        sbert_model,\n        sbert_embeddings,\n        train_df,\n        config)\n\n\nif __name__ == '__main__':\n    main()\n"
  }
]