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 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 09, 2019
- Source ID
- 10.1063/1.5108818
Entities
People
- Garnet Chan
- Lin Lin
- Michael Lindsey
- Xiaojie Wu
- Yu Tong
- Zhi-Hao Cui
Organizations
- Air Force Office of Scientific Research
- California Institute of Technology
- Lawrence Berkeley National Laboratory
- National Science Foundation
- United States Department of Energy