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Efficient and scalable wave function compression using corner hierarchical matrices

delete2024-11-25
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OA
AI
K
Kenneth O. Berard
H
Hongji Gao
A
Alexander Teplukhin
X
Xiangmin Jiao *
B
Benjamin G. Levine *
DOI:10.1063/5.0231409delete
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Abstract

Abstract

En 中文
The exponential scaling of complete active space and full configuration interaction (CI) calculations limits the ability of quantum chemists to simulate the electronic structures of strongly correlated systems. Herein, we present corner hierarchically approximated CI (CHACI), an approach to wave function compression based on corner hierarchical matrices (CH-matrices)-a new variant of hierarchical matrices based on block-wise low-rank decomposition. By application to dodecacene, a strongly correlated molecule, we demonstrate that CH matrix compression provides superior compression compared to truncated global singular value decomposition. The compression ratio is shown to improve with increasing active space size. By comparison of several alternative schemes, we demonstrate that superior compression is achieved by (a) using a blocking approach that emphasizes the upper-left corner of the CI vector, (b) sorting the CI vector prior to compression, and (c) optimizing the rank of each block to maximize information density.
Keywords:
FULL CONFIGURATION-INTERACTION
ACTIVE SPACE CONCEPT
CONSISTENT-FIELD METHOD
DENSITY-MATRIX
RELATIVISTIC TREATMENT
ELECTRON CORRELATION
QUANTUM-CHEMISTRY
ITERATIVE CI
DECOMPOSITION
ALGORITHM

Journal

Journal of Chemical Physics cover
Journal of Chemical Physics
IF:
3.1
Papers:
7.2W
Citations:
23.2W

Organization

S
state university of new york (suny) system
Scholars:
6.5W
Papers: 5.8W
Citations: 65