Reduction of the molecular hamiltonian matrix using quantum community detection

Abstract 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 ap...

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Autores principales: Susan M. Mniszewski, Pavel A. Dub, Sergei Tretiak, Petr M. Anisimov, Yu Zhang, Christian F. A. Negre
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3dd9b6f2d0cb44f4a3ca79bf22e2b6fc
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spelling oai:doaj.org-article:3dd9b6f2d0cb44f4a3ca79bf22e2b6fc2021-12-02T14:04:00ZReduction of the molecular hamiltonian matrix using quantum community detection10.1038/s41598-021-83561-x2045-2322https://doaj.org/article/3dd9b6f2d0cb44f4a3ca79bf22e2b6fc2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83561-xhttps://doaj.org/toc/2045-2322Abstract 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.Susan M. MniszewskiPavel A. DubSergei TretiakPetr M. AnisimovYu ZhangChristian F. A. NegreNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Susan M. Mniszewski
Pavel A. Dub
Sergei Tretiak
Petr M. Anisimov
Yu Zhang
Christian F. A. Negre
Reduction of the molecular hamiltonian matrix using quantum community detection
description Abstract 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.
format article
author Susan M. Mniszewski
Pavel A. Dub
Sergei Tretiak
Petr M. Anisimov
Yu Zhang
Christian F. A. Negre
author_facet Susan M. Mniszewski
Pavel A. Dub
Sergei Tretiak
Petr M. Anisimov
Yu Zhang
Christian F. A. Negre
author_sort Susan M. Mniszewski
title Reduction of the molecular hamiltonian matrix using quantum community detection
title_short 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_sort reduction of the molecular hamiltonian matrix using quantum community detection
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3dd9b6f2d0cb44f4a3ca79bf22e2b6fc
work_keys_str_mv AT susanmmniszewski reductionofthemolecularhamiltonianmatrixusingquantumcommunitydetection
AT paveladub reductionofthemolecularhamiltonianmatrixusingquantumcommunitydetection
AT sergeitretiak reductionofthemolecularhamiltonianmatrixusingquantumcommunitydetection
AT petrmanisimov reductionofthemolecularhamiltonianmatrixusingquantumcommunitydetection
AT yuzhang reductionofthemolecularhamiltonianmatrixusingquantumcommunitydetection
AT christianfanegre reductionofthemolecularhamiltonianmatrixusingquantumcommunitydetection
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