Density Matrix Embedding Theory and Strongly Correlated Lattice Systems
arXiv:1803.10259
Abstract
This thesis describes the development of the density matrix embedding theory (DMET) and its applications to lattice strongly correlated electron problems, including a review of DMET theory and algorithms (Ch 2), investigation of finite size scaling (Ch 3), Applications to high-temperature superconductivity (Ch 4-6), a framework for finite-temperature DMET (Ch 7).
PhD thesis (Princeton University, 2017). Advisor: Garnet Kin-Lic Chan
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- Spatially inhomogeneous phase in the two-dimensional repulsive Hubbard model
- Checkerboard charge density wave and pseudogap in high- cuprates
- Phase separation in the Hubbard model
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- Phase diagram and single-particle spectrum of CuO layers within a variational cluster approach to the 3-band Hubbard model
- Lifshitz Transition in the Two Dimensional Hubbard Model
- Spin Density Waves in the Hubbard model - A DMFT approach
- Pseudogap in underdoped cuprates and spin-density-wave fluctuations
- Tensor Product Variational Formulation for Quantum Systems
- Many-body computations by stochastic sampling in Hartree-Fock-Bogoliubov space
- Absence of the d-Density Wave State in 2D Hubbard Model
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Cited by in corpus (3)
- Ground-state phase diagram of the three-band Hubbard model from density matrix embedding theory
- A unified density-matrix functional construction of quantum baths in density matrix embedding theory beyond the mean-field approximation
- Fragment quantum embedding using the Householder transformation: a multi-state extension based on ensembles