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Tensor decomposition in post-Hartree-Fock methods. I. Two-electron integrals and MP2

机译:后Hartree-Fock方法中的张量分解。 I.两电子积分和MP2

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A new approximation for post-Hartree-Fock (HF) methods is presented applying tensor decomposition techniques in the canonical product tensor format. In this ansatz, multidimensional tensors like integrals or wavefunction parameters are processed as an expansion in one-dimensional representing vectors. This approach has the potential to decrease the computational effort and the storage requirements of conventional algorithms drastically while allowing for rigorous truncation and error estimation. For post-HF ab initio methods, for example, storage is reduced to O(d·R·n) with d being the number of dimensions of the full tensor, R being the expansion length (rank) of the tensor decomposition, and n being the number of entries in each dimension (i.e., the orbital index). If all tensors are expressed in the canonical format, the computational effort for any subsequent tensor contraction can be reduced to O(R2·n). We discuss details of the implementation, especially the decomposition of the two-electron integrals, the AO-MO transformation, the Mller-Plesset perturbation theory (MP2) energy expression and the perspective for coupled cluster methods. An algorithm for rank reduction is presented that parallelizes trivially. For a set of representative examples, the scaling of the decomposition rank with system and basis set size is found to be O(N~(1.8)) for the AO integrals, O(N 1.4) for the MO integrals, and O(N~(1.2)) for the MP2 t 2-amplitudes (N denotes a measure of system size) if the upper bound of the error in the ?2-norm is chosen as ε = 10 ~(-2). This leads to an error in the MP2 energy in the order of mHartree.
机译:采用规范乘积张量格式的张量分解技术,提出了一种后哈特里克·福克(HF)方法的新近似方法。在此ansatz中,将多维张量(例如积分或波函数参数)作为一维表示矢量的展开进行处理。这种方法有可能大大减少传统算法的计算量和存储要求,同时允许严格的截断和错误估计。例如,对于HF后从头计算方法,将存储量减少为O(d·R·n),其中d是整个张量的维数,R是张量分解的扩展长度(秩),n是每个维度(即轨道索引)中的条目数。如果所有张量都以规范格式表示,则任何后续张量收缩的计算量都可以减少到O(R2·n)。我们讨论了实现的细节,特别是两电子积分的分解,AO-MO变换,Mller-Plesset微扰理论(MP2)能量表示以及耦合聚类方法的前景。提出了一种平凡的并行降级算法。对于一组代表性示例,对于AO积分,分解秩随系统和基本集大小的缩放比例为O(N〜(1.8)),对于MO积分为O(N 1.4),以及O(N如果将β2-范数中误差的上限选择为ε= 10〜(-2),则MP2 t 2振幅为((1.2))(N表示系统大小的度量)。这会导致mHartree顺序的MP2能量错误。

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