Low-Rank Algorithms for Ab Initio Valence Bond Approaches

Valence bond (VB) theory is an ab initio approach that provides intuitive pictures and insights into chemical bonds and reaction mechanisms. This work integrates low-rank algorithms, including the resolution of the identity and the chain of spheres for exchange, into VB methods. These algorithms significantly improve the efficiency of VB calculations by reducing the computational expense and storage requirement of Fock matrix construction and integral transformations while preserving chemical accuracy. Historically, VB methods were limited to small or model systems due to these computational challenges. The adoption of low-rank techniques now enables efficient optimization of the full set of orbitals in ab initio VB theory, extending its applicability to molecular systems exceeding 100 atoms. The low-rank algorithm expands the scope of VB theory, allowing the study of larger and more realistic molecular systems from a VB perspective.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-02-24
DOI
https://doi.org/10.1021/acs.jctc.4c01787
Citations
3
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
7.44

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article

Low-Rank Algorithms for Ab Initio Valence Bond Approaches

Wei Wu, Yueyang Zhang, Chenru Ji, Fuming Ying et al.
3 citations
Journal of Chemical Theory and Computation
Quantum Computing Algorithms and Architecture
7.44
article

Low-Rank Algorithms for Ab Initio Valence Bond Approaches

Wei Wu, Yueyang Zhang, Chenru Ji, Fuming Ying, Chen Zhou
article en
3 citations

Abstract

Valence bond (VB) theory is an ab initio approach that provides intuitive pictures and insights into chemical bonds and reaction mechanisms. This work integrates low-rank algorithms, including the resolution of the identity and the chain of spheres for exchange, into VB methods. These algorithms significantly improve the efficiency of VB calculations by reducing the computational expense and storage requirement of Fock matrix construction and integral transformations while preserving chemical accuracy. Historically, VB methods were limited to small or model systems due to these computational challenges. The adoption of low-rank techniques now enables efficient optimization of the full set of orbitals in ab initio VB theory, extending its applicability to molecular systems exceeding 100 atoms. The low-rank algorithm expands the scope of VB theory, allowing the study of larger and more realistic molecular systems from a VB perspective.

Journal of Chemical Theory and ComputationVol. 21(5)
Xiamen University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 4%
Quantum Computing Algorithms and Architecture
7.44
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