| 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 | 104 | 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 | 100 | 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 | 59 | 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 34 (11), 8852-8865, 2022 | 44 | 2022 |
| 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 | 25 | 2023 |
| 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 | 23 | 2021 |
| 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 | 18 | 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 | 15 | 2017 |
| Neural networks for quantum state tomography with constrained measurements H Ma, D Dong, IR Petersen, CJ Huang, GY Xiang Quantum Information Processing 23 (9), 317, 2024 | 11* | 2024 |
| 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 | 11 | 2021 |
| Tomography of quantum states from structured measurements via quantum-aware transformer H Ma, Z Sun, D Dong, C Chen, H Rabitz arXiv preprint arXiv:2305.05433, 2023 | 9* | 2023 |
| 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 |
| 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 |
| Tomography of quantum detectors using neural networks H Ma, S Xiao, D Dong, IR Petersen IFAC-PapersOnLine 56 (2), 5875-5880, 2023 | 4 | 2023 |
| Auxiliary task-based deep reinforcement learning for quantum control S Zhou, H Ma, S Kuang, D Dong IEEE Transactions on Cybernetics, 2025 | 3 | 2025 |
| 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 | 3 | 2023 |
| Learning informative latent representation for quantum state tomography H Ma, Z Sun, D Dong, D Gong IEEE Transactions on Emerging Topics in Computational Intelligence, 1-11, 2025 | 2 | 2025 |
| Quantum autoencoders using mixed reference states H Ma, GJ Mooney, IR Petersen, LCL Hollenberg, D Dong npj Quantum Information 10 (1), 86, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| Machine Learning for Estimation and Control of Quantum Systems H Ma, B Qi, IR Petersen, RB Wu, H Rabitz, D Dong arXiv preprint arXiv:2503.03164, 2025 | | 2025 |
Daoyi DongIEEE Fellow, Professor at University of Technology Sydney/Australian National University, AustraliaEmail verificata su anu.edu.au