Automatic Differentiation for Complex Valued SVD. - Zhou-Quan Wan; Shi-Xin Zhang (CoRR, 2019)

Classification on the Computational Complexity of Spin Models. - Shi-Xin Zhang (CoRR, 2019)

Automatic Differentiable Monte Carlo: Theory and Application. - Shi-Xin Zhang; Zhou-Quan Wan; Hong Yao (CoRR, 2019)

Neural predictor based quantum architecture search. - Shi-Xin Zhang; Chang-Yu Hsieh; Shengyu Zhang 002; Hong Yao (Mach. Learn. Sci. Technol., 2021)

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)

Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications. - Jiace Sun; Lixue Cheng; Shi-Xin Zhang (Quantum, 2025)