@article{cheng2024quantum,title={Quantum approximate optimization via learning-based adaptive optimization},author={Cheng, Lixue and Chen, Yu-Qin and Zhang, Shi-Xin and Zhang, Shengyu},journal={Communications Physics},volume={7},number={1},pages={83},year={2024},publisher={Nature Publishing Group UK London},}
2023
Quantum imaginary-time control for accelerating the ground-state preparation
Yu-Cheng Chen, Yu-Qin Chen†, Alice Hu†, Chang-Yu Hsieh†, and Shengyu Zhang
@article{chen2023quantum,title={Quantum imaginary-time control for accelerating the ground-state preparation},author={Chen, Yu-Cheng and Chen, Yu-Qin and Hu, Alice and Hsieh, Chang-Yu and Zhang, Shengyu},journal={Physical Review Research},volume={5},number={2},pages={023087},year={2023},publisher={APS},}
Non-Hermitian ground-state-searching algorithm enhanced by a variational toolbox
Yu-Qin Chen, Shi-Xin Zhang, Chang-Yu Hsieh, and Shengyu Zhang
@article{chen2023non,title={Non-Hermitian ground-state-searching algorithm enhanced by a variational toolbox},author={Chen, Yu-Qin and Zhang, Shi-Xin and Hsieh, Chang-Yu and Zhang, Shengyu},journal={Physical Review A},volume={107},number={4},pages={042418},year={2023},publisher={APS},}
2022
Spectral-Transfer-Tensor Method for Characterizing Non-Markovian Noise
Yu-Qin Chen, Yi-Cong Zheng, Shengyu Zhang, and Chang-Yu Hsieh
@article{chen2022spectral,title={Spectral-Transfer-Tensor Method for Characterizing Non-Markovian Noise},author={Chen, Yu-Qin and Zheng, Yi-Cong and Zhang, Shengyu and Hsieh, Chang-Yu},journal={Physical Review Applied},volume={17},number={6},pages={064007},year={2022},publisher={APS},}
Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks
@article{chen2022optimizing,title={Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks},author={Chen, Yu-Qin and Chen, Yu and Lee, Chee-Kong and Zhang, Shengyu and Hsieh, Chang-Yu},journal={Nature Machine Intelligence},volume={4},number={3},pages={269--278},year={2022},publisher={Nature Publishing Group UK London},}
2020
Non-markovian noise characterization with the transfer tensor method
Yu-Qin Chen, Kai-Li Ma, Yi-Cong Zheng, Jonathan Allcock, Shengyu Zhang, and Chang-Yu Hsieh
@article{chen2020non,title={Non-markovian noise characterization with the transfer tensor method},author={Chen, Yu-Qin and Ma, Kai-Li and Zheng, Yi-Cong and Allcock, Jonathan and Zhang, Shengyu and Hsieh, Chang-Yu},journal={Physical Review Applied},volume={13},number={3},pages={034045},year={2020},publisher={APS},}
2017
Discovery of tip induced unconventional superconductivity on Weyl semimetal
He Wang*, Huichao Wang*, Yu-Qin Chen*, Jiawei Luo, Zhujun Yuan, Jun Liu, and 5 more authors
@article{wang2017discovery,title={Discovery of tip induced unconventional superconductivity on Weyl semimetal},author={Wang, He and Wang, Huichao and Chen, Yu-Qin and Luo, Jiawei and Yuan, Zhujun and Liu, Jun and Wang, Yong and Jia, Shuang and Liu, Xiong-Jun and Wei, Jian and others},journal={Science bulletin},volume={62},number={6},pages={425--430},year={2017},publisher={Elsevier},}
2016
Symmetry reduction and boundary modes for Fe chains on an s-wave superconductor
@article{chen2016symmetry,title={Symmetry reduction and boundary modes for Fe chains on an s-wave superconductor},author={Chen, Yu-Qin and Wu, Yi-Ming and Liu, Xiong-Jun},journal={Journal of Physics: Condensed Matter},volume={28},number={47},pages={475701},year={2016},publisher={IOP Publishing},}