Efficient Simulation of Inhomogeneously Correlated Systems Using Block Interaction Product States

The strength of the density matrix renormalization group (DMRG) in handling strongly correlated systems lies in its unbiased and simultaneous treatment of identical sites that are both energetically degenerate and spatially similar, as typically encountered in physical models. However, this very feature becomes a drawback when DMRG is applied to quantum chemistry calculations for large, realistic correlated systems. This is because entangled orbitals often span broad ranges in both energy and space, with their interactions being notably inhomogeneous. In this study, we suggest addressing the strong intrafragment correlations and weak interfragment correlations separately, utilizing a large-scale multiconfigurational calculation framework grounded in the block interaction product state formulation. The strong intrafragment correlation can be encapsulated in several electronic states located on fragments, which are obtained by considering the entanglement between fragments and their environments. Moreover, we incorporate non-Abelian spin-SU(2) symmetry in our work to target the desired states we interested with well-defined particle number and spin, providing deeper insights into the corresponding chemical processes. The described method has been examined in various chemical systems and demonstrates high efficiency in addressing the inhomogeneous effects in strong correlation quantum chemistry.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2024-11-06
DOI
https://doi.org/10.1021/acs.jctc.4c01184
Citations
4
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
1.35

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article

Efficient Simulation of Inhomogeneously Correlated Systems Using Block Interaction Product States

Xiaoyu Xie, Yifan Cheng, Haibo Ma, Zhaoxuan Xie
4 citations
Journal of Chemical Theory and Computation
Quantum many-body systems
1.35
article

Efficient Simulation of Inhomogeneously Correlated Systems Using Block Interaction Product States

Xiaoyu Xie, Yifan Cheng, Haibo Ma, Zhaoxuan Xie
article en
4 citations

Abstract

The strength of the density matrix renormalization group (DMRG) in handling strongly correlated systems lies in its unbiased and simultaneous treatment of identical sites that are both energetically degenerate and spatially similar, as typically encountered in physical models. However, this very feature becomes a drawback when DMRG is applied to quantum chemistry calculations for large, realistic correlated systems. This is because entangled orbitals often span broad ranges in both energy and space, with their interactions being notably inhomogeneous. In this study, we suggest addressing the strong intrafragment correlations and weak interfragment correlations separately, utilizing a large-scale multiconfigurational calculation framework grounded in the block interaction product state formulation. The strong intrafragment correlation can be encapsulated in several electronic states located on fragments, which are obtained by considering the entanglement between fragments and their environments. Moreover, we incorporate non-Abelian spin-SU(2) symmetry in our work to target the desired states we interested with well-defined particle number and spin, providing deeper insights into the corresponding chemical processes. The described method has been examined in various chemical systems and demonstrates high efficiency in addressing the inhomogeneous effects in strong correlation quantum chemistry.

Journal of Chemical Theory and ComputationVol. 20(22)
Qingdao University (CN), Shandong University (CN), Ludwig-Maximilians-Universität München (DE), Nanjing University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 19%
Quantum many-body systems
1.35
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Efficient Simulation of Inhomogeneously Correlated Systems Using Block Interaction Product States — Xiaoyu Xie, Yifan Cheng, et al. · Journal of Chemical Theory and Computation (2024) | TGRS Research Map | TGRS