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