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 Randomness-enhanced expressivity of quantum neural networks Y Wu, J Yao, P Zhang, X Li
https://arxiv.org/abs/2308.04740, 2023
3 2023 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 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