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Generalization of the exponential basis for tensor network representations of long-range interactions in two and three dimensions

机译:张量网络表示两三维度相互作用的指数基础的概括

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In one dimension (1D), a general decaying long-range interaction can be fit to a sum of exponential interactions e(-lambda rij) with varying exponents lambda, each of which can be represented by a simple matrix product operator with bond dimension D = 3. Using this technique, efficient and accurate simulations of 1D quantum systems with long-range interactions can be performed using matrix product states. However, the extension of this construction to higher dimensions is not obvious. We report how to generalize the exponential basis to two and three dimensions by defining the basis functions as the Green's functions of the discretized Helmholtz equation for different Helmholtz parameters., a construction which is valid for lattices of any spatial dimension. Compact tensor network representations can then be found for the discretized Green's functions, by expressing them as correlation functions of auxiliary fermionic fields with nearest-neighbor interactions via Grassmann Gaussian integration. Interestingly, this analytic construction in three dimensions yields a D = 4 tensor network representation of correlation functions which (asymptotically) decay as the inverse distance (r(ij)(-1)), thus generating the (screened) Coulomb potential on a cubic lattice. These techniques will be useful in tensor network simulations of realistic materials.
机译:在一个维度(1D)中,一般衰变的远程相互作用可以符合具有不同指数Lambda的指数交互E(-Lambda Rij)的总和,每个leamnda可以由简单的矩阵产品运算符与粘合尺寸d表示= 3.使用该技术,可以使用矩阵产品状态执行具有远程相互作用的1D量子系统的高效和准确模拟。然而,这种结构的延伸到更高的尺寸并不明显。我们报告如何通过将基础函数定义为不同的Helmholtz参数的离散亥姆霍兹方程的绿色功能来报告如何概括两和三维。,一种对任何空间尺寸的格子有效的结构。然后可以通过表示通过GrassMann高斯集成与最近邻相互作用的辅助Fermionic字段的相关函数来找到紧凑的张量网络表示。有趣的是,这种分析结构三维产生了D = 4张量网络表示的相关函数(渐近)衰减作为逆距离(R(IJ)( - 1)),从而在立方体上生成(筛选)库仑电位格子。这些技术将在张量网络模拟的现实材料中有用。

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