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From Real Materials to Model Hamiltonians With Density Matrix Downfolding

机译:从真实材料到具有密度矩阵向下折叠的模型哈密顿量

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Due to advances in computer hardware and new algorithms, it is now possible to perform highly accurate many-body simulations of realistic materials with all their intrinsic complications. The success of these simulations leaves us with a conundrum: how do we extract useful physical models and insight from these simulations? In this article, we present a formal theory of downfoldinga??extracting an effective Hamiltonian from first-principles calculations. The theory maps the downfolding problem into fitting information derived from wave functions sampled from a low-energy subspace of the full Hilbert space. Since this fitting process most commonly uses reduced density matrices, we term it density matrix downfolding (DMD).
机译:由于计算机硬件和新算法的进步,现在可以对现实材料及其所有内在复杂性进行高精度的多体模拟。这些模拟的成功使我们面临一个难题:我们如何从这些模拟中提取有用的物理模型和见解?在本文中,我们介绍了向下折叠的形式理论-从第一性原理计算中提取有效的哈密顿量。该理论将向下折叠问题映射为拟合信息,该拟合信息是从从整个希尔伯特空间的低能子空间采样的波动函数得出的。由于这种拟合过程最常用的是降低密度的矩阵,因此我们称其为密度矩阵向下折叠(DMD)。

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