{"total":19,"rows":[{"id":"2102.07788","title":"Universal Adversarial Examples and Perturbations for Quantum Classifiers","created":"2021-02-15","cited_by_count":23,"area":null},{"id":"2103.11611","title":"Variational quantum compiling with double Q-learning","created":"2021-03-22","cited_by_count":13,"area":null},{"id":"2312.11337","title":"Challenges for Reinforcement Learning in Quantum Circuit Design","created":"2023-12-18","cited_by_count":9,"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":"2106.03931","title":"Entropy Regularized Reinforcement Learning Using Large Deviation Theory","created":"2021-06-07","cited_by_count":5,"area":null},{"id":"2406.02598","title":"Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems","created":"2024-06-01","cited_by_count":4,"area":null},{"id":"2406.12195","title":"Quantum Compiling with Reinforcement Learning on a Superconducting Processor","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2405.08100","title":"Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation","created":"2024-05-13","cited_by_count":3,"area":null},{"id":"2102.04518","title":"A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks","created":"2021-02-08","cited_by_count":2,"area":null},{"id":"2203.14032","title":"Quantum continual learning of quantum data realizing knowledge backward transfer","created":"2022-03-26","cited_by_count":2,"area":null},{"id":"2211.05793","title":"Efficient and quantum-adaptive machine learning with fermion neural networks","created":"2022-11-10","cited_by_count":2,"area":null},{"id":"2111.02426","title":"Weighted Quantum Channel Compiling through Proximal Policy Optimization","created":"2021-11-03","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":"2511.23224","title":"Nonstabilizerness Estimation using Graph Neural Networks","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2606.29636","title":"Lie Group Diffusion Models for Hardware-Aware Quantum Circuit Synthesis","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2307.08684","title":"A Rubik's Cube inspired approach to Clifford synthesis","created":"2023-07-17","cited_by_count":0,"area":null},{"id":"2311.04285","title":"Compilation of product-formula Hamiltonian simulation via reinforcement learning","created":"2023-11-07","cited_by_count":0,"area":null},{"id":"2502.05264","title":"Quantum automated learning with provable and explainable trainability","created":"2025-02-07","cited_by_count":0,"area":null},{"id":"2607.29145","title":"Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization","created":"2026-07-31","cited_by_count":0,"area":null}],"next_cursor":null}