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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 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.
机译:我们使用两种密度矩阵嵌入理论(DMET)调查能量和可观察的集群大小收敛性:原始群集形式(CDMet)和动态簇近似(DCA-DOME)激励的新配方。 两种方法都使用符号问题自由辅助场量子蒙特卡罗杂质求解器应用于半填充的一维毂仓型号,这允许治疗高达100位点的大型杂质簇。 虽然在较小的杂质簇尺寸下CDMet更准确,但DCA-DMET表现出朝向热力学极限的更快的渐近收敛。 我们使用两种配方生产用于U / T = 2,4,6的二维隆巴德模型的能量和当地时刻的新准确估计。 这些结果对文献中可用的最佳数据有利地比较,并且有助于解决U / T = 2的较早的不确定性。

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