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Reduction of the molecular hamiltonian matrix using quantum community detection

Quantum chemistry is interested in calculating ground and excited states of molecular systems by solving the electronic Schrödinger equation. The exact numerical solution of this equation, frequently represented as an eigenvalue problem, remains unfeasible for most molecules and requires approximate...

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Autores principales: Mniszewski, Susan M., Dub, Pavel A., Tretiak, Sergei, Anisimov, Petr M., Zhang, Yu, Negre, Christian F. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892829/
https://www.ncbi.nlm.nih.gov/pubmed/33602988
http://dx.doi.org/10.1038/s41598-021-83561-x
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author Mniszewski, Susan M.
Dub, Pavel A.
Tretiak, Sergei
Anisimov, Petr M.
Zhang, Yu
Negre, Christian F. A.
author_facet Mniszewski, Susan M.
Dub, Pavel A.
Tretiak, Sergei
Anisimov, Petr M.
Zhang, Yu
Negre, Christian F. A.
author_sort Mniszewski, Susan M.
collection PubMed
description Quantum chemistry is interested in calculating ground and excited states of molecular systems by solving the electronic Schrödinger equation. The exact numerical solution of this equation, frequently represented as an eigenvalue problem, remains unfeasible for most molecules and requires approximate methods. In this paper we introduce the use of Quantum Community Detection performed using the D-Wave quantum annealer to reduce the molecular Hamiltonian matrix in Slater determinant basis without chemical knowledge. Given a molecule represented by a matrix of Slater determinants, the connectivity between Slater determinants (as off-diagonal elements) is viewed as a graph adjacency matrix for determining multiple communities based on modularity maximization. A gauge metric based on perturbation theory is used to determine the lowest energy cluster. This cluster or sub-matrix of Slater determinants is used to calculate approximate ground state and excited state energies within chemical accuracy. The details of this method are described along with demonstrating its performance across multiple molecules of interest and bond dissociation cases. These examples provide proof-of-principle results for approximate solution of the electronic structure problem using quantum computing. This approach is general and shows potential to reduce the computational complexity of post-Hartree–Fock methods as future advances in quantum hardware become available.
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spelling pubmed-78928292021-02-23 Reduction of the molecular hamiltonian matrix using quantum community detection Mniszewski, Susan M. Dub, Pavel A. Tretiak, Sergei Anisimov, Petr M. Zhang, Yu Negre, Christian F. A. Sci Rep Article Quantum chemistry is interested in calculating ground and excited states of molecular systems by solving the electronic Schrödinger equation. The exact numerical solution of this equation, frequently represented as an eigenvalue problem, remains unfeasible for most molecules and requires approximate methods. In this paper we introduce the use of Quantum Community Detection performed using the D-Wave quantum annealer to reduce the molecular Hamiltonian matrix in Slater determinant basis without chemical knowledge. Given a molecule represented by a matrix of Slater determinants, the connectivity between Slater determinants (as off-diagonal elements) is viewed as a graph adjacency matrix for determining multiple communities based on modularity maximization. A gauge metric based on perturbation theory is used to determine the lowest energy cluster. This cluster or sub-matrix of Slater determinants is used to calculate approximate ground state and excited state energies within chemical accuracy. The details of this method are described along with demonstrating its performance across multiple molecules of interest and bond dissociation cases. These examples provide proof-of-principle results for approximate solution of the electronic structure problem using quantum computing. This approach is general and shows potential to reduce the computational complexity of post-Hartree–Fock methods as future advances in quantum hardware become available. Nature Publishing Group UK 2021-02-18 /pmc/articles/PMC7892829/ /pubmed/33602988 http://dx.doi.org/10.1038/s41598-021-83561-x Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mniszewski, Susan M.
Dub, Pavel A.
Tretiak, Sergei
Anisimov, Petr M.
Zhang, Yu
Negre, Christian F. A.
Reduction of the molecular hamiltonian matrix using quantum community detection
title Reduction of the molecular hamiltonian matrix using quantum community detection
title_full Reduction of the molecular hamiltonian matrix using quantum community detection
title_fullStr Reduction of the molecular hamiltonian matrix using quantum community detection
title_full_unstemmed Reduction of the molecular hamiltonian matrix using quantum community detection
title_short Reduction of the molecular hamiltonian matrix using quantum community detection
title_sort reduction of the molecular hamiltonian matrix using quantum community detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892829/
https://www.ncbi.nlm.nih.gov/pubmed/33602988
http://dx.doi.org/10.1038/s41598-021-83561-x
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