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Hailan Ma
Hailan Ma
PhD student, UNSW
Verified email at adfa.edu.au
Title
Cited by
Cited by
Year
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
852020
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
522021
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
412020
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
242022
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
182021
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
162023
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
162015
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
102017
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
92015
Several developments in learning control of quantum systems
H Ma, C Chen
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
82020
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
72021
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
22023
Tomography of quantum states from structured measurements via quantum-aware transformer
H Ma, Z Sun, D Dong, C Chen, H Rabitz
12023
Tomography of quantum detectors using neural networks
H Ma, S Xiao, D Dong, IR Petersen
IFAC-PapersOnLine 56 (2), 5875-5880, 2023
12023
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
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