Cluster size convergence of the density matrix embedding theory and its dynamical cluster formulation: A study with an auxiliary-field quantum Monte Carlo solver
Zheng, Bo-Xiao Kretchmer, Joshua S. Shi, Hao Zhang, Shiwei Chan, Garnet Kin-Lic
Zheng, Bo-Xiao
Kretchmer, Joshua S.
Shi, Hao
Zhang, Shiwei
Chan, Garnet Kin-Lic
Abstract
We investigate the cluster size convergence of the energy and observables using two forms of density matrix embedding theory (DMET): the original cluster form (CDMET) and a new formulation motivated by the dynamical cluster approximation (DCA-DMET). Both methods are applied to the half-filled one- and two-dimensional Hubbard models using a sign-problem free auxiliary-field quantum Monte Carlo impurity solver, which allows for the treatment of large impurity clusters of up to 100 sites. While CDMET is more accurate at smaller impurity cluster sizes, DCA-DMET exhibits faster asymptotic convergence towards the thermodynamic limit. We use our two formulations to produce new accurate estimates for the energy and local moment of the two-dimensional Hubbard model for U / t = 2,4,6. These results compare favorably with the best data available in the literature, and help resolve earlier uncertainties in the moment for U / t = 2.
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2018-01-03
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Physics
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https://www.doi.org/10.1103/PhysRevB.95.045103