quant-ph
Papers filed under quant-ph on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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1,561 to 1,594 of 1,594
Quantum Circuit Learning
Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa +1
quant-pharXiv:1803.00745v32018Measurement-device-independent quantum key distribution
Hoi-Kwong Lo, Marcos Curty, Bing Qi
quant-pharXiv:1109.1473v22011Machine learning and the physical sciences
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer +5
physics.comp-phastro-ph.COcond-mat.dis-nnarXiv:1903.10563v22019A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States
Roman Orus
cond-mat.str-elhep-lathep-tharXiv:1306.2164v32013The Security of Practical Quantum Key Distribution
Valerio Scarani, Helle Bechmann-Pasquinucci, Nicolas J. Cerf +3
quant-pharXiv:0802.4155v32008Gaussian Quantum Information
Christian Weedbrook, Stefano Pirandola, Raul Garcia-Patron +4
quant-pharXiv:1110.3234v12011Quantum Machine Learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti +3
quant-phcond-mat.str-elstat.MLarXiv:1611.09347v22016Ising formulations of many NP problems
Andrew Lucas
cond-mat.stat-mechcs.CCcs.DSarXiv:1302.5843v32013Aligning Quantum Operators with Large Language Models
Rogerio Feris, Yunchao Liu, Pengyuan Li +2
quant-phcs.AIarXiv:2606.13811v22026Surface codes: Towards practical large-scale quantum computation
Austin G. Fowler, Matteo Mariantoni, John M. Martinis +1
quant-pharXiv:1208.0928v22012Dynamic Entanglement-Weighted Pruning for Quantum Federated Unlearning in Supply-Chain Risk Prediction
Aditya Kumar, Sumit Chongder
quant-phcs.LGarXiv:2608.17069v12026Bernstein-Vazirani Networks: Quantum Machine Learning by Interference
Natacha Kuete Meli, Tolga Birdal, Prayag Tiwari +2
quant-phcs.AIcs.CVarXiv:2608.19043v12026AlphaClifford: Efficient Clifford Synthesis and Transpilation with Model-based RL
Daniele Lizzio Bosco, Jacopo Cossio, Carla Piazza +1
quant-phcs.AIarXiv:2608.18946v12026A variational eigenvalue solver on a quantum processor
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt +5
quant-phphysics.chem-pharXiv:1304.3061v12013The Quantum Internet
H. J. Kimble
quant-pharXiv:0806.4195v12008Quantum cryptography: Public key distribution and coin tossing
Charles H. Bennett, Gilles Brassard
quant-pharXiv:2003.06557v12020SPSA Hyperparameter Tuning for Variational Quantum Natural Language Inference
Nayan D'Souza, Christopher J. Agostino
quant-phcs.LGarXiv:2608.16939v12026Quantum Computing in the NISQ era and beyond
John Preskill
quant-phcond-mat.str-elarXiv:1801.00862v32018Quantum Computation and Quantum Information
Yazhen Wang
stat.MEquant-pharXiv:1210.0736v12012Resource-Efficient QUBO Formulation for Anchored Currency Arbitrage
Eric A. F. Reinhardt, Adam J. Hauser
quant-phcs.LGarXiv:2608.15889v12026Auditing an AI-Generated Mathematical Proof: A Correction to a Greedy Conditioning Lemma in Quantum Parallel Repetition
Mikołaj Sienicki, Krzysztof Sienicki
cs.AIquant-pharXiv:2608.14673v12026The Quantum Shortcut: Complex Phase-State Dynamics Reduce the Optimization Steps of Sequence Models
Ahmed Nebli, Hadi Saadatdoorabi, Christopher Keibel +1
cs.LGquant-pharXiv:2608.14691v12026QuantumNovelty: A Skill-Orchestrating Language Agent for Referee-Style Review and Patentability Screening of Quantum Papers and Patents
Shlomo Kashani
physics.soc-phcs.AIcs.CYarXiv:2608.16900v12026Degeneracy Counting Quantum Algorithm using Decoherence
Malay Marut Das, Mark A. Novotny, Yaroslav Koshka
cs.LGquant-pharXiv:2608.14941v12026Iterative tensor network transformations for element-wise evaluation of elementary and filtering functions
Xiao Wang, Tomohiro Hashizume, Pia Siegl +1
cs.LGcond-mat.stat-mechcs.AIarXiv:2608.17135v12026PAS-QFL: Personalized Ansatz Selection for Quantum Federated Learning under Client Data Heterogeneity
Jindi Wu, Qun Li
quant-phcs.AIcs.DCarXiv:2608.14995v12026Continuous Quantum Feedback Control via Kraus-Parameterized Belief Reinforcement Learning
Priyanshi Singh, Krishna Bhatia
quant-phcs.LGarXiv:2608.15715v12026Machine Learning Approaches to Decoding Topological Quantum Codes
Changwon Lee, Tak Hur, Jeongwoo Jae +1
quant-phcs.LGarXiv:2608.15760v12026Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
Yu-Cheng Lin, Yu-Chao Hsu, I-Shan Tsai +9
quant-phcs.LGarXiv:2605.04604v12026Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +16
cs.LGcs.AIquant-pharXiv:2605.06734v22026Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting
Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +14
quant-phcs.AIcs.LGarXiv:2607.27945v12026A Sparse and Truncated State Vector Simulator for Peaked Circuits
Diogo R. Ferreira
quant-phcs.ETarXiv:2607.07816v12026Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting
Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin +3
quant-phcs.AIcs.LGarXiv:2606.27821v12026Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning
Chun-Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu +7
cs.LGcs.AIcs.DCarXiv:2608.13914v12026