{"total":34,"rows":[{"id":"2104.07715","title":"Quantum Architecture Search via Deep Reinforcement Learning","created":"2021-04-15","cited_by_count":60,"area":null},{"id":"2112.05779","title":"Quantum Architecture Search via Continual Reinforcement Learning","created":"2021-12-10","cited_by_count":22,"area":null},{"id":"2211.07056","title":"An Invitation to Distributed Quantum Neural Networks","created":"2022-11-14","cited_by_count":13,"area":null},{"id":"2511.15969","title":"A Primer on Quantum Machine Learning","created":"2025-11-20","cited_by_count":12,"area":null},{"id":"2203.16707","title":"Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits","created":"2022-03-30","cited_by_count":10,"area":null},{"id":"2202.12319","title":"Privacy-preserving machine learning with tensor networks","created":"2022-02-24","cited_by_count":9,"area":null},{"id":"2108.13525","title":"Identifying optimal cycles in quantum thermal machines with reinforcement-learning","created":"2021-08-30","cited_by_count":6,"area":null},{"id":"2204.06904","title":"Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning","created":"2022-04-14","cited_by_count":6,"area":null},{"id":"2304.10650","title":"Learning a quantum computer's capability","created":"2023-04-20","cited_by_count":5,"area":null},{"id":"2502.03962","title":"Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search","created":"2025-02-06","cited_by_count":5,"area":null},{"id":"2101.01190","title":"Control of Stochastic Quantum Dynamics by Differentiable Programming","created":"2021-01-04","cited_by_count":4,"area":null},{"id":"2101.12190","title":"Practical distributed quantum information processing with LOCCNet","created":"2021-01-28","cited_by_count":4,"area":null},{"id":"2209.00671","title":"Deep reinforcement learning for quantum multiparameter estimation","created":"2022-09-01","cited_by_count":4,"area":null},{"id":"2203.15574","title":"Quantum compiling with a variational instruction set for accurate and fast quantum computing","created":"2022-03-29","cited_by_count":3,"area":null},{"id":"2106.01779","title":"Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions","created":"2021-06-03","cited_by_count":2,"area":null},{"id":"2304.09718","title":"Sample-efficient Model-based Reinforcement Learning for Quantum Control","created":"2023-04-19","cited_by_count":2,"area":null},{"id":"2109.08612","title":"Active Learning for the Optimal Design of Multinomial Classification in Physics","created":"2021-09-17","cited_by_count":1,"area":null},{"id":"2204.04785","title":"Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning","created":"2022-04-10","cited_by_count":1,"area":null},{"id":"2212.11890","title":"Decoding surface codes with deep reinforcement learning and probabilistic policy reuse","created":"2022-12-22","cited_by_count":1,"area":null},{"id":"2403.03761","title":"Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2408.15328","title":"Artificially intelligent Maxwell's demon for optimal control of open quantum systems","created":"2024-08-27","cited_by_count":1,"area":null},{"id":"2601.18973","title":"When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control","created":"2026-01-26","cited_by_count":1,"area":null},{"id":"2112.06628","title":"Quantum Stream Learning","created":"2021-12-13","cited_by_count":0,"area":null},{"id":"2205.09543","title":"Parallel bandit architecture based on laser chaos for reinforcement learning","created":"2022-05-19","cited_by_count":0,"area":null},{"id":"2209.11207","title":"Beyond Heisenberg Limit Quantum Metrology through Quantum Signal Processing","created":"2022-09-22","cited_by_count":0,"area":null},{"id":"2212.10705","title":"Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning","created":"2022-12-21","cited_by_count":0,"area":null},{"id":"2305.02117","title":"Asymmetric quantum decision-making","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2307.11609","title":"Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2310.03036","title":"A quantum system control method based on enhanced reinforcement learning","created":"2023-09-30","cited_by_count":0,"area":null},{"id":"2403.18322","title":"Quantum Algorithms: A New Frontier in Financial Crime Prevention","created":"2024-03-27","cited_by_count":0,"area":null},{"id":"2504.16334","title":"Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics","created":"2025-04-23","cited_by_count":0,"area":null},{"id":"2509.07040","title":"A Quantum Bagging Algorithm with Unsupervised Base Learners for Label Corrupted Datasets","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2509.16020","title":"AI Methods for Permutation Circuit Synthesis Across Generic Topologies","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2512.03193","title":"In Situ Quantum Analog Pulse Characterization via Structured Signal Processing","created":"2025-12-02","cited_by_count":0,"area":null}],"next_cursor":null}