Finite-temperature density matrix embedding theory

Published in Physical Review B, 2020

Recommended citation: Chong Sun, Ushnish Ray, Zhi-Hao Cui, Miles Stoudenmire, Michel Ferrero, and Garnet Kin-Lic Chan. Phys. Rev. B 101, 075131 (2020) https://journals.aps.org/prb/abstract/10.1103/PhysRevB.101.075131

This paper provides a new vision on the behavior of entanglement at finite temperature. It also provides a numerical algorithm called finite-temperature density matrix embedding theory (FT-DMET), which is powerful for computing observables and phase diagrams for strongly correlated systems at finite temperature.

FT-DMET Algorithm
FT-DMET Algorithm
ft 2d hubbard
Neel transition of 2D Hubbard model