| Expressivity of quantum neural networks Y Wu, J Yao, P Zhang, H Zhai Physical Review Research 3 (3), L032049, 2021 | 22 | 2021 |
| Active learning algorithm for computational physics J Yao, Y Wu, J Koo, B Yan, H Zhai Physical review research 2 (1), 013287, 2020 | 19 | 2020 |
| Controlled transport between Fermi superfluids through a quantum point contact J Yao, B Liu, M Sun, H Zhai Physical Review A 98 (4), 041601, 2018 | 17 | 2018 |
| Normal-state properties of a resonantly interacting -wave Fermi gas J Yao, S Zhang Physical Review A 97 (4), 043612, 2018 | 16 | 2018 |
| Efimov-enhanced Kondo effect in alkali-metal and alkaline-earth-metal atomic gas mixtures J Yao, H Zhai, R Zhang Physical Review A 99 (1), 010701, 2019 | 9 | 2019 |
| Noise enhanced neural networks for analytic continuation J Yao, C Wang, Z Yao, H Zhai Machine Learning: Science and Technology 3 (2), 025010, 2022 | 7 | 2022 |
| Bose-Hubbard models with staggered flux: Quantum phases, collective excitation, and tricriticality J Yao, S Zhang Physical Review A 90 (2), 023608, 2014 | 7 | 2014 |
| Strongly interacting high-partial-wave Bose gas J Yao, R Qi, P Zhang Physical Review A 97 (4), 043626, 2018 | 5 | 2018 |
| Three-body problem of bosons near a -wave resonance J Yao, P Zhang, R Qi, H Zhai Physical Review A 99 (1), 012701, 2019 | 3 | 2019 |
| Preparing quantum states by measurement-feedback control with Bayesian optimization Y Wu, J Yao, P Zhang Frontiers of Physics 18 (6), 61301, 2023 | 2 | 2023 |
| Randomness-enhanced expressivity of quantum neural networks Y Wu, J Yao, P Zhang, X Li https://arxiv.org/abs/2308.04740, 2023 | 2 | 2023 |
| Quantum state tomography with disentanglement algorithm J Yao arXiv preprint arXiv:2310.06273, 2023 | | 2023 |
| Superfluid Properties of a Spin-orbit Coupled Ferm Gas J Yao, S Ding, Z Yu, S Zhang Sythetic Spin-orbit Coupling in Cold Atoms, 203-243, 2018 | | 2018 |
Hui ZhaiInstitute for Advanced Study, Tsinghua UniversityVerified email at tsinghua.edu.cn
