| Quantum control theory and applications: a survey D Dong, IR Petersen IET control theory & applications 4 (12), 2651-2671, 2010 | 664 | 2010 |
| Quantum reinforcement learning D Dong, C Chen, H Li, TJ Tarn IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 405 | 2008 |
| Quantum state tomography via linear regression estimation B Qi, Z Hou, L Li, D Dong, G Xiang, G Guo Scientific reports 3 (1), 3496, 2013 | 171 | 2013 |
| Microgrids: A review, outstanding issues and future trends M Uddin, H Mo, D Dong, S Elsawah, J Zhu, JM Guerrero Energy Strategy Reviews 49, 101127, 2023 | 165 | 2023 |
| Fidelity-based probabilistic Q-learning for control of quantum systems C Chen, D Dong, HX Li, J Chu, TJ Tarn IEEE transactions on neural networks and learning systems 25 (5), 920-933, 2013 | 165 | 2013 |
| Sampling-based learning control of inhomogeneous quantum ensembles C Chen, D Dong, R Long, IR Petersen, HA Rabitz Physical Review A 89 (2), 023402, 2014 | 153 | 2014 |
| Sliding mode control of two-level quantum systems D Dong, IR Petersen Automatica 48 (5), 725-735, 2012 | 150 | 2012 |
| Self-paced prioritized curriculum learning with coverage penalty in deep reinforcement learning Z Ren, D Dong, H Li, C Chen IEEE transactions on neural networks and learning systems 29 (6), 2216-2226, 2018 | 137 | 2018 |
| Sliding mode control of quantum systems D Dong, IR Petersen New Journal of Physics 11 (10), 105033, 2009 | 133 | 2009 |
| Optimal Lyapunov-based quantum control for quantum systems SC Hou, MA Khan, XX Yi, D Dong, IR Petersen Physical Review A—Atomic, Molecular, and Optical Physics 86 (2), 022321, 2012 | 121 | 2012 |
| Adaptive quantum state tomography via linear regression estimation: Theory and two-qubit experiment B Qi, Z Hou, Y Wang, D Dong, HS Zhong, L Li, GY Xiang, HM Wiseman, ... npj Quantum Information 3 (1), 19, 2017 | 120 | 2017 |
| Learning robust and high-precision quantum controls RB Wu, H Ding, D Dong, X Wang Physical Review A 99 (4), 042327, 2019 | 116 | 2019 |
| Quantum reinforcement learning during human decision-making JA Li, D Dong, Z Wei, Y Liu, Y Pan, F Nori, X Zhang Nature human behaviour 4 (3), 294-307, 2020 | 106 | 2020 |
| Full reconstruction of a 14-qubit state within four hours Z Hou, HS Zhong, Y Tian, D Dong, B Qi, L Li, Y Wang, F Nori, GY Xiang, ... New Journal of Physics 18 (8), 083036, 2016 | 103 | 2016 |
| Hybrid control for robot navigation-a hierarchical q-learning algorithm C Chen, HX Li, D Dong IEEE Robotics & Automation Magazine 15 (2), 37-47, 2008 | 103 | 2008 |
| Robust quantum-inspired reinforcement learning for robot navigation D Dong, C Chen, J Chu, TJ Tarn IEEE/ASME transactions on mechatronics 17 (1), 86-97, 2010 | 98 | 2010 |
| A quantum Hamiltonian identification algorithm: Computational complexity and error analysis Y Wang, D Dong, B Qi, J Zhang, IR Petersen, H Yonezawa IEEE Transactions on Automatic Control 63 (5), 1388-1403, 2017 | 96 | 2017 |
| Robust manipulation of superconducting qubits in the presence of fluctuations D Dong, C Chen, B Qi, IR Petersen, F Nori Scientific Reports 5 (1), 7873, 2015 | 93 | 2015 |
| 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 | 88 | 2021 |
| Incoherent control of quantum systems with wavefunction-controllable subspaces via quantum reinforcement learning D Dong, C Chen, TJ Tarn, A Pechen, H Rabitz IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 88 | 2008 |
Ian PetersenAustralian National University在 anu.edu.au 的电子邮件经过验证
