Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks. - Yu-Qin Chen; Yu Chen; Chee-Kong Lee; Shengyu Zhang 002; Chang-Yu Hsieh (Nat. Mach. Intell., 2022)

Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization. - Lixue Cheng; Yu-Qin Chen; Shi-Xin Zhang; Shengyu Zhang 002 (CoRR, 2023)

TensorCircuit: a Quantum Software Framework for the NISQ Era. - Shi-Xin Zhang; Jonathan Allcock; Zhou-Quan Wan; Shuo Liu; Jiace Sun; Hao Yu; Xing-Han Yang; Jiezhong Qiu; Zhaofeng Ye; Yu-Qin Chen; Chee-Kong Lee; Yicong Zheng; et al. (Quantum, 2023)

Subsystem Information Capacity in Random Circuits and Hamiltonian Dynamics. - Yu-Qin Chen; Shuo Liu; Shi-Xin Zhang (Quantum, 2025)