| Quantum adversarial machine learning S Lu, LM Duan, DL Deng Physical Review Research 2 (3), 033212, 2020 | 102 | 2020 |
| Separability-entanglement classifier via machine learning S Lu, S Huang, K Li, J Li, J Chen, D Lu, Z Ji, Y Shen, D Zhou, B Zeng Physical Review A 98 (1), 012315, 2018 | 100 | 2018 |
| Algorithms for quantum simulation at finite energies S Lu, MC Bañuls, JI Cirac PRX Quantum 2 (2), 020321, 2021 | 96 | 2021 |
| Efficient representation of topologically ordered states with restricted Boltzmann machines S Lu, X Gao, LM Duan Physical Review B 99 (15), 155136, 2019 | 81 | 2019 |
| Local-measurement-based quantum state tomography via neural networks T Xin, S Lu, N Cao, G Anikeeva, D Lu, J Li, G Long, B Zeng npj Quantum Information 5 (1), 109, 2019 | 79* | 2019 |
| Quantum federated learning through blind quantum computing W Li, S Lu, DL Deng Science China Physics, Mechanics & Astronomy 64 (10), 100312, 2021 | 70 | 2021 |
| Machine learning topological phases with a solid-state quantum simulator W Lian, ST Wang, S Lu, Y Huang, F Wang, X Yuan, W Zhang, X Ouyang, ... Physical review letters 122 (21), 210503, 2019 | 60 | 2019 |
| NMRCloudQ: a quantum cloud experience on a nuclear magnetic resonance quantum computer T Xin, S Huang, S Lu, K Li, Z Luo, Z Yin, J Li, D Lu, G Long, B Zeng Science Bulletin 63 (1), 17-23, 2018 | 44 | 2018 |
| Quantum spacetime on a quantum simulator K Li, Y Li, M Han, S Lu, J Zhou, D Ruan, G Long, Y Wan, D Lu, B Zeng, ... Communications Physics 2 (1), 122, 2019 | 41 | 2019 |
| Optimizing QAOA: Success Probability and Runtime Dependence on Circuit Depth M Yuezhen Niu, S Lu, IL Chuang arXiv preprint arXiv:2006.03032, 2019 | 38* | 2019 |
| Codes for simultaneous transmission of quantum and classical information M Grassl, S Lu, B Zeng 2017 IEEE International Symposium on Information Theory (ISIT), 1718-1722, 2017 | 30 | 2017 |
| Tensor networks and efficient descriptions of classical data S Lu, M Kanász-Nagy, I Kukuljan, JI Cirac arXiv preprint arXiv:2103.06872, 2021 | 23 | 2021 |
| Determining system hamiltonian from eigenstate measurements without correlation functions SY Hou, N Cao, S Lu, Y Shen, YT Poon, B Zeng New Journal of Physics 22 (8), 083088, 2020 | 18 | 2020 |
| Adversarial machine learning phases of matter S Jiang, S Lu, DL Deng Quantum Frontiers 2 (1), 15, 2023 | 14* | 2023 |
| Local-measurement-based quantum state tomography via neural networks, npj Quantum Inf T Xin, S Lu, N Cao, G Anikeeva, D Lu, J Li, G Long, B Zeng | 9 | 2019 |
| Variational Neural and Tensor Network Approximations of Thermal States S Lu, G Giudice, JI Cirac arXiv preprint arXiv:2401.14243, 2024 | 2 | 2024 |
Bei ZengThe Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
