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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