arXiv · 1905.00886
Projected Density Matrix Embedding Theory with Applications to the Two-Dimensional Hubbard Model
Abstract
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 density matrix embedding theory (p-DMET), which achieves self-consistency without needing to optimize a correlation potential. We demonstrate the performance of p-DMET on the two-dimensional Hubbard model.
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Xiaojie Wu, Zhi-Hao Cui, Yu Tong, Michael Lindsey, Garnet Kin-Lic Chan, Lin Lin. 2019-05-02. Projected Density Matrix Embedding Theory with Applications to the Two-Dimensional Hubbard Model. https://doi.org/10.1063/1.5108818
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