Chinese Journal of Computational Physics ›› 2024, Vol. 41 ›› Issue (6): 701-716.DOI: 10.19596/j.cnki.1001-246x.8974

• Research Article • Previous Articles     Next Articles

Quantum Monte Carlo and Its Applications in Condensed and Warm Dense Matters

Tianxing MA1(), Ting GUO1, Zhongbing HUANG2, Haiqing LIN3   

  1. 1. Department of Physics, School of Physics and Astronomy, Beijing Normal University, Beijing 100875, China
    2. School of Physics, Hubei University, Wuhan, Hubei 430062, China
    3. School of Physics, Zhejiang University. Hangzhou, Zhejiang 310058, China
  • Received:2024-07-03 Online:2024-11-25 Published:2024-12-26

Abstract:

This paper firstly introduces the development of quantum Monte Carlo and several types of typical quantum Monte Carlo methods in detail, and then summarizes the recent researches of condensed and warm dense matter systems, including transport, magnetism, superconductivity and thermodynamic properties. Finally, the development prospect of quantum Monte Carlo methods is discussed.

Key words: quantum Monte Carlo, correlated electron systems, warm dense matters, sign problem, machine learning