Dr. Yang’s research fields of interest include the tensor network, quantum many-body system, machine learning, quantum machine learning, quantum computing, quantitative analysis in finance, application of quantum computing in finance, and multi-factors asset pricing models.
Publications
Towards simulating time evolution of specific quantum many-body system by lower counts of quantum gates Europhysics Letters, Volume 141, Number 1 Guanlin Jian[1], Yuan Yang[1], Ze Liu, Zhen-Gang Zhu, and Zhengchuan Wang
Reentrance of the topological phase in a spin-1 frustrated Heisenberg chain PHYSICAL REVIEW B 101, 045133 (2020) Yuan Yang, Shi-Ju Ran, Xi Chen, Zheng-Zhi Sun, Shou-Shu Gong, Zhengchuan Wang, and Gang Su
Visualizing quantum phases and identifying quantum phase transitions by nonlinear dimensional reduction PHYSICAL REVIEW B 103, 075106 (2021) Yuan Yang, Zheng-Zhi Sun, Shi-Ju Ran, and Gang Su
Phase identification in many-body systems by virtual configuration binarization PHYSICAL REVIEW E 103, 013313 (2021) Yuan Yang, Zhengchuan Wang, Shi-Ju Ran, and Gang Su
Trimer superfluid and supersolid on two-dimensional optical lattices PHYSICAL REVIEW A 91, 033613 (2015) Wanzhou Zhang, Yuan Yang, Lijuan Guo, Chengxiang Ding, and Tony C. Scott
open source codes contribution
Q-TSNE algorithm to visualize the quantum many-body states.
QC-alpha-circuit quantum circuit to realize the time evolution of Heisenberg model with transverse field.