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.
Authors
- Wei Wu (ORCID: https://orcid.org/0000-0002-6139-5443)
- Yueyang Zhang (ORCID: https://orcid.org/0009-0009-7700-8661)
- Chenru Ji
- Fuming Ying (ORCID: https://orcid.org/0000-0002-2025-9162)
- Chen Zhou (ORCID: https://orcid.org/0000-0002-6332-4198)
Institutions
- Xiamen University (CN)
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
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities