Projected density matrix embedding theory with applications to the two-dimensional Hubbard model

Author(s): Wu, Xiaojie; Cui, Zhi-Hao; Tong, Yu; Lindsey, Michael; Chan, Garnet Kin-Lic; Lin, Lin | Abstract: © 2019 Author(s). Density matrix embedding theory (DMET) is a quantum embedding theory for strongly correlated systems. From a computational perspective, one bottleneck in DMET is the optimization of the correlation potential to achieve self-consistency, especially for heterogeneous systems of large size. We propose a new method, called projected DMET (p-DMET), which achieves self-consistency without needing to optimize the correlation potential. We demonstrate the performance of p-DMET on the two-dimensional Hubbard model.