Equivalence of restricted Boltzmann machines and tensor network states J Chen, S Cheng, H Xie, L Wang, T Xiang Physical Review B 97 (8), 085104, 2018 | 312 | 2018 |
Tree tensor networks for generative modeling S Cheng, L Wang, T Xiang, P Zhang Physical Review B 99 (15), 155131, 2019 | 229 | 2019 |
Information perspective to probabilistic modeling: Boltzmann machines versus born machines S Cheng, J Chen, L Wang Entropy 20 (8), 583, 2018 | 128 | 2018 |
Supervised learning with projected entangled pair states S Cheng, L Wang, P Zhang Physical Review B 103 (12), 125117, 2021 | 73 | 2021 |
Simulating noisy quantum circuits with matrix product density operators S Cheng, C Cao, C Zhang, Y Liu, SY Hou, P Xu, B Zeng Physical review research 3 (2), 023005, 2021 | 47 | 2021 |
Compressing deep neural networks by matrix product operators ZF Gao, S Cheng, RQ He, ZY Xie, HH Zhao, ZY Lu, T Xiang Physical Review Research 2 (2), 023300, 2020 | 47 | 2020 |
Phase transition of the q-state clock model: Duality and tensor renormalization J Chen, HJ Liao, HD Xie, XJ Han, RZ Huang, S Cheng, ZC Wei, ZY Xie, ... Chinese Physics Letters 34 (5), 050503, 2017 | 47 | 2017 |
Simulating quantum mean values in noisy variational quantum algorithms: A polynomial-scale approach Y Shao, F Wei, S Cheng, Z Liu arXiv preprint arXiv:2306.05804, 2023 | 18 | 2023 |
Simulating noisy variational quantum algorithms: A polynomial approach Y Shao, F Wei, S Cheng, Z Liu Physical Review Letters 133 (12), 120603, 2024 | 3 | 2024 |
A ZX-Calculus Approach to Concatenated Graph Codes Z Wu, S Cheng, B Zeng arXiv preprint arXiv:2304.08363, 2023 | 3 | 2023 |
量子纠缠: 从量子物质态到深度学习 程嵩, 陈靖, 王磊 物理 46 (7), 416-423, 2017 | 1 | 2017 |