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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:密度矩阵嵌入理论的簇尺寸收敛及其动力学簇公式:基于辅助场量子蒙特卡洛求解器的研究

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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:我们使用密度矩阵嵌入理论(DMET)的两种形式来研究能量和可观测量的簇大小收敛:原始簇形式(CDMET)和由动态簇近似驱动的新公式(DCA-DMET)。两种方法均使用无符号问题的辅助场量子蒙特卡洛杂质求解器应用于半填充的一维和二维Hubbard模型,该模型可处理多达100个位点的大型杂质簇。尽管CDMET在较小的杂质簇尺寸下更准确,但DCA-DMET朝热力学极限显示出更快的渐近收敛性。我们使用两个公式为U / t = 2,4,6的二维Hubbard模型的能量和局部矩产生新的精确估计。这些结果可与文献中的最佳数据进行比较,并且有助于解决U / t = 2时的早期不确定性。

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