Xiao Liang

Postdoctoral Research Associate



Xiao Liang holds a Ph.D in Physics from the University of Science and Technology of China (USTC), and he has two postdoc experiences at Tsinghua University and USTC. He joined the PSC in 2023 as a post-doctoral researcher orienting the MuST project.

Research Links

Google Scholar, GitHub Page

Research Interests

Development of numerical methods and the performance optimization. Heterogeneous computing. Ab initio calculation of quantum systems.

Selected Publications

X Zhao, M Li, Q Xiao, J Chen, F Wang, L Shen, M Zhao, W Wu, H An, L He and X Liang,¬† “AI for quantum mechanics: high performance quantum many-body simulations via deep learning,” SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, 677-691

X Liang, S-J Dong, L He, “Hybrid convolutional neural network and projected entangled pair states wave functions for quantum many-particle states,” Phys. Rev. B 103, 035138 (2021)

X Liang, W-Y Liu, P-Z Lin, G-C Guo, Y-S Zhang, L He, “Solving frustrated quantum many-particle models with convolutional neural networks,” Phys. Rev. B 98, 104426 (2018)


AI geek, cooking, learning English