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An adaptive variational algorithm for exact molecular simulations on a quantum computer
Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614426/ https://www.ncbi.nlm.nih.gov/pubmed/31285433 http://dx.doi.org/10.1038/s41467-019-10988-2 |
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author | Grimsley, Harper R. Economou, Sophia E. Barnes, Edwin Mayhall, Nicholas J. |
author_facet | Grimsley, Harper R. Economou, Sophia E. Barnes, Edwin Mayhall, Nicholas J. |
author_sort | Grimsley, Harper R. |
collection | PubMed |
description | Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm that, instead of fixing an ansatz upfront, grows it systematically one operator at a time in a way dictated by the molecule being simulated. This generates an ansatz with a small number of parameters, leading to shallow-depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present-day and near-term quantum hardware. |
format | Online Article Text |
id | pubmed-6614426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66144262019-07-10 An adaptive variational algorithm for exact molecular simulations on a quantum computer Grimsley, Harper R. Economou, Sophia E. Barnes, Edwin Mayhall, Nicholas J. Nat Commun Article Quantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm that, instead of fixing an ansatz upfront, grows it systematically one operator at a time in a way dictated by the molecule being simulated. This generates an ansatz with a small number of parameters, leading to shallow-depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present-day and near-term quantum hardware. Nature Publishing Group UK 2019-07-08 /pmc/articles/PMC6614426/ /pubmed/31285433 http://dx.doi.org/10.1038/s41467-019-10988-2 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Grimsley, Harper R. Economou, Sophia E. Barnes, Edwin Mayhall, Nicholas J. An adaptive variational algorithm for exact molecular simulations on a quantum computer |
title | An adaptive variational algorithm for exact molecular simulations on a quantum computer |
title_full | An adaptive variational algorithm for exact molecular simulations on a quantum computer |
title_fullStr | An adaptive variational algorithm for exact molecular simulations on a quantum computer |
title_full_unstemmed | An adaptive variational algorithm for exact molecular simulations on a quantum computer |
title_short | An adaptive variational algorithm for exact molecular simulations on a quantum computer |
title_sort | adaptive variational algorithm for exact molecular simulations on a quantum computer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614426/ https://www.ncbi.nlm.nih.gov/pubmed/31285433 http://dx.doi.org/10.1038/s41467-019-10988-2 |
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