Mingpu Qin is a member of the Monte Carlo Group, working with Shiwei Zhang as a postdoctoral research associate at the College of William & Mary. He received his Ph.D. at the Institute of Physics, Chinese Academy of Sciences in Physics in 2013, where he focused on developing tensor network state related methods and the application of them under the supervision of Tao Xiang.
His current interest is trying to combine tensor network related methods and Monte Carlo methods. At present, he also does some benchmark calculations on the two-dimensional Hubbard model with constrained path quantum Monte Carlo (CPQMC) methods.