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

@article{Wu2019ProjectedDM, title={Projected density matrix embedding theory with applications to the two-dimensional Hubbard model}, author={Xiaojie Wu and Zhi-Hao Cui and Yu Tong and Michael Lindsey and Garnet Kin-Lic Chan and Lin Lin}, journal={The Journal of Chemical Physics}, year={2019} }

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…

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## 19 Citations

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