Learning-based quantum robust control: algorithm, applications, and experiments D Dong, X Xing, H Ma, C Chen, Z Liu, H Rabitz IEEE transactions on cybernetics 50 (8), 3581-3593, 2020 | 87 | 2020 |
Deep reinforcement learning with quantum-inspired experience replay Q Wei, H Ma, C Chen, D Dong IEEE Transactions on Cybernetics 52 (9), 9326-9338, 2021 | 55 | 2021 |
Realization of a quantum autoencoder for lossless compression of quantum data CJ Huang, H Ma, Q Yin, JF Tang, D Dong, C Chen, GY Xiang, CF Li, ... Physical Review A 102 (3), 032412, 2020 | 45 | 2020 |
Curriculum-based deep reinforcement learning for quantum control H Ma, D Dong, SX Ding, C Chen IEEE Transactions on Neural Networks and Learning Systems, 2022 | 27 | 2022 |
Learning control of quantum systems using frequency-domain optimization algorithms D Dong, CC Shu, J Chen, X Xing, H Ma, Y Guo, H Rabitz IEEE Transactions on Control Systems Technology 29 (4), 1791-1798, 2021 | 18 | 2021 |
On compression rate of quantum autoencoders: Control design, numerical and experimental realization H Ma, CJ Huang, C Chen, D Dong, Y Wang, RB Wu, GY Xiang Automatica 147, 110659, 2023 | 17 | 2023 |
Differential evolution with equally-mixed strategies for robust control of open quantum systems H Ma, C Chen, D Dong 2015 IEEE international conference on systems, man, and cybernetics, 2055-2060, 2015 | 16 | 2015 |
Quantum learning control using differential evolution with equally-mixed strategies H Ma, D Dong, CC Shu, Z Zhu, C Chen Control Theory and Technology 15, 226-241, 2017 | 11 | 2017 |
Ensemble control of open quantum systems using differential evolution Y Sun, H Ma, C Wu, C Chen, D Dong 2015 10th Asian Control Conference (ASCC), 1-6, 2015 | 9 | 2015 |
On how neural networks enhance quantum state tomography with limited resources H Ma, D Dong, IR Petersen 2021 60th IEEE Conference on Decision and Control (CDC), 4146-4151, 2021 | 8 | 2021 |
Several developments in learning control of quantum systems H Ma, C Chen 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 8 | 2020 |
On how neural networks enhance quantum state tomography with constrained measurements H Ma, D Dong, IR Petersen, CJ Huang, GY Xiang arXiv e-prints, arXiv: 2111.09504, 2021 | 6* | 2021 |
Attention-based transformer networks for quantum state tomography H Ma, Z Sun, D Dong, C Chen, H Rabitz arXiv preprint arXiv:2305.05433, 2023 | 3 | 2023 |
Tomography of quantum states from structured measurements via quantum-aware transformer H Ma, Z Sun, D Dong, C Chen, H Rabitz | 2 | 2023 |
Tomography of quantum detectors using neural networks H Ma, S Xiao, D Dong, IR Petersen IFAC-PapersOnLine 56 (2), 5875-5880, 2023 | 1 | 2023 |
Estimation of Quantum Channels Using Neural Networks H Ma, Z Sun, S Xiao, D Dong, IR Petersen 2023 62nd IEEE Conference on Decision and Control (CDC), 1195-1200, 2023 | | 2023 |
Two-step robust control design of quantum gates via differential evolution S Hu, H Ma, D Dong, C Chen Journal of the Franklin Institute 360 (17), 13972-13993, 2023 | | 2023 |
Guided Reward Design in Continuous Reinforcement Learning for Quantum Control S Zhou, H Ma, S Kuang, D Dong 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | | 2023 |
Learning Informative Latent Representation for Quantum State Tomography H Ma, Z Sun, D Dong, D Gong arXiv preprint arXiv:2310.00518, 2023 | | 2023 |
Quantum autoencoders using mixed reference states H Ma, GJ Mooney, IR Petersen, LCL Hollenberg, D Dong arXiv preprint arXiv:2309.15582, 2023 | | 2023 |