Robust resource-efficient quantum variational ansatz through an evolutionary algorithm Y Huang, Q Li, X Hou, R Wu, MH Yung, A Bayat, X Wang Physical Review A 105 (5), 052414, 2022 | 33 | 2022 |
A duplication-free quantum neural network for universal approximation X Hou, G Zhou, Q Li, S Jin, X Wang Science China Physics, Mechanics & Astronomy 66 (7), 270362, 2023 | 12 | 2023 |
Quantum spectral clustering algorithm for unsupervised learning Q Li, Y Huang, S Jin, X Hou, X Wang Science China Information Sciences 65 (10), 200504, 2022 | 12 | 2022 |
Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers Q Li, Y Huang, X Hou, Y Li, X Wang, A Bayat Physical Review Research 6 (1), 013027, 2024 | 8 | 2024 |
A universal duplication-free quantum neural network X Hou, G Zhou, Q Li, S Jin, X Wang arXiv preprint arXiv:2106.13211, 2021 | 7 | 2021 |
MindSpore Quantum: a user-friendly, high-performance, and AI-compatible quantum computing framework X Xu, J Cui, Z Cui, R He, Q Li, X Li, Y Lin, J Liu, W Liu, J Lu, M Luo, C Lyu, ... arXiv preprint arXiv:2406.17248, 2024 | 4 | 2024 |
Ensemble-learning variational shallow-circuit quantum classifiers Q Li, Y Huang, X Hou, Y Li, X Wang, A Bayat arXiv e-prints, arXiv: 2301.12707, 2023 | 4 | 2023 |
Fermionic simulators for enhanced scalability of variational quantum simulation Q Li, C Mukhopadhyay, A Bayat Physical Review Research 5 (4), 043175, 2023 | 3 | 2023 |
A sequentially generated variational quantum circuit with polynomial complexity X Hou, Q Li, MH Yung, X Xu, Z Wang, C Guo, X Wang arXiv preprint arXiv:2305.12856, 2023 | 1 | 2023 |