| Expressivity of quantum neural networks Y Wu, J Yao, P Zhang, H Zhai Physical Review Research 3 (3), L032049, 2021 | 33 | 2021 |
| Scrambling ability of quantum neural network architectures Y Wu, P Zhang, H Zhai Physical Review Research 3 (3), L032057, 2021 | 28 | 2021 |
| Active learning approach to optimization of experimental control Y Wu, Z Meng, K Wen, C Mi, J Zhang, H Zhai Chinese Physics Letters 37 (10), 103201, 2020 | 23 | 2020 |
| Active learning algorithm for computational physics J Yao, Y Wu, J Koo, B Yan, H Zhai Physical review research 2 (1), 013287, 2020 | 21 | 2020 |
| Visualizing a neural network that develops quantum perturbation theory Y Wu, P Zhang, H Shen, H Zhai Physical Review A 98 (1), 010701, 2018 | 20 | 2018 |
| Randomness-enhanced expressivity of quantum neural networks Y Wu, J Yao, P Zhang, X Li Physical Review Letters 132 (1), 010602, 2024 | 4 | 2024 |
| Preparing quantum states by measurement-feedback control with Bayesian optimization Y Wu, J Yao, P Zhang Frontiers of Physics 18 (6), 61301, 2023 | 3 | 2023 |
| Learning quantum dissipation by the neural ordinary differential equation L Chen, Y Wu Physical Review A 106 (2), 022201, 2022 | 3 | 2022 |
| Modified independent component analysis for extracting Eigen-Modes of a quantum system Y Wu, H Zhai Machine Learning: Science and Technology 1 (2), 025010, 2020 | 3 | 2020 |
| The quantum cocktail party problem X Liang, YD Wu, H Zhai arXiv preprint arXiv:1904.06411, 2019 | 2 | 2019 |
| Subexponential critical slowing-down at a Floquet time-crystal phase transition W Zhang, Y Wu, X Qiu, J Nan, X Li Physical Review B 108 (1), 014307, 2023 | 1 | 2023 |
Hui ZhaiInstitute for Advanced Study, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
