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Cluster size convergence of the density matrix embedding theory and its dynamical cluster formulation: A study with an auxiliary-field quantum Monte Carlo solver

机译:密度矩阵嵌入理论及其动态集群制定的簇大小收敛性:用辅助场蒙特卡罗求解器的研究

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摘要

We investigate the cluster size convergence of the energy and observables using two forms of densitymatrix embedding theory (DMET): the original cluster form (CDMET) and a new formulation motivated bythe dynamical cluster approximation (DCA-DMET). Both methods are applied to the half-filled one- andtwo-dimensional Hubbard models using a sign-problem free auxiliary-field quantum Monte Carlo impuritysolver, which allows for the treatment of large impurity clusters of up to 100 sites. While CDMET is moreaccurate at smaller impurity cluster sizes, DCA-DMET exhibits faster asymptotic convergence towards thethermodynamic limit. We use our two formulations to produce new accurate estimates for the energy and localmoment of the two-dimensional Hubbard model for U/t = 2,4,6. These results compare favorably with the bestdata available in the literature, and help resolve earlier uncertainties in the moment for U/t = 2.
机译:我们使用两种密度调查能量和可观察者的集群大小收敛性矩阵嵌入理论(DMET):原始群集形式(CDMet)和新的配方激励动态簇近似(DCA-DOME)。两种方法都适用于半填充的一个 - 和使用符号问题免费辅助现场量子蒙特卡罗杂质的二维喧哗模型求解器,其允许治疗高达100个点的大型杂质簇。虽然CDMET更多在较小的杂质簇大小上准确,DCA-DMET表现出更快的渐近收敛热力学限制。我们使用两种配方来为能源和当地生产新的准确估计U / T = 2,4,6的二维哈贝德模型的矩模型。这些结果与最好的比较有利文献中可用的数据,并帮助您在U / T = 2的那一刻解决早期的不确定性。

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  • 来源
    《Physical Review. B, Condensed Matter》 |2017年第4期|045103.1-045103.13|共13页
  • 作者单位

    Department of Chemistry Princeton University New Jersey 08544 United States Division of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States;

    Division of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States;

    Department of Physics The College of William and Mary Williamsburg Virginia 23187 United States;

    Department of Physics The College of William and Mary Williamsburg Virginia 23187 United States;

    Division of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States;

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