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Linear-Scaling Quantum Circuits for Computational Chemistry
[Image: see text] We have recently constructed compact, CNOT-efficient, quantum circuits for Fermionic and qubit excitations of arbitrary many-body rank [Magoulas, I.; Evangelista, F. A. J. Chem. Theory Comput.2023, 19, 82236656643]. Here, we present approximations of these circuits that substantial...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413858/ https://www.ncbi.nlm.nih.gov/pubmed/37410884 http://dx.doi.org/10.1021/acs.jctc.3c00376 |
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author | Magoulas, Ilias Evangelista, Francesco A. |
author_facet | Magoulas, Ilias Evangelista, Francesco A. |
author_sort | Magoulas, Ilias |
collection | PubMed |
description | [Image: see text] We have recently constructed compact, CNOT-efficient, quantum circuits for Fermionic and qubit excitations of arbitrary many-body rank [Magoulas, I.; Evangelista, F. A. J. Chem. Theory Comput.2023, 19, 82236656643]. Here, we present approximations of these circuits that substantially reduce the CNOT counts even further. Our preliminary numerical data, using the selected projective quantum eigensolver approach, show up to a 4-fold reduction in CNOTs. At the same time, there is practically no loss of accuracy in the energies compared to the parent implementation, while the ensuing symmetry breaking is essentially negligible. |
format | Online Article Text |
id | pubmed-10413858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104138582023-08-11 Linear-Scaling Quantum Circuits for Computational Chemistry Magoulas, Ilias Evangelista, Francesco A. J Chem Theory Comput [Image: see text] We have recently constructed compact, CNOT-efficient, quantum circuits for Fermionic and qubit excitations of arbitrary many-body rank [Magoulas, I.; Evangelista, F. A. J. Chem. Theory Comput.2023, 19, 82236656643]. Here, we present approximations of these circuits that substantially reduce the CNOT counts even further. Our preliminary numerical data, using the selected projective quantum eigensolver approach, show up to a 4-fold reduction in CNOTs. At the same time, there is practically no loss of accuracy in the energies compared to the parent implementation, while the ensuing symmetry breaking is essentially negligible. American Chemical Society 2023-07-06 /pmc/articles/PMC10413858/ /pubmed/37410884 http://dx.doi.org/10.1021/acs.jctc.3c00376 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Magoulas, Ilias Evangelista, Francesco A. Linear-Scaling Quantum Circuits for Computational Chemistry |
title | Linear-Scaling Quantum Circuits for Computational
Chemistry |
title_full | Linear-Scaling Quantum Circuits for Computational
Chemistry |
title_fullStr | Linear-Scaling Quantum Circuits for Computational
Chemistry |
title_full_unstemmed | Linear-Scaling Quantum Circuits for Computational
Chemistry |
title_short | Linear-Scaling Quantum Circuits for Computational
Chemistry |
title_sort | linear-scaling quantum circuits for computational
chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413858/ https://www.ncbi.nlm.nih.gov/pubmed/37410884 http://dx.doi.org/10.1021/acs.jctc.3c00376 |
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