Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition

Problem decomposition methods may help to overcome the size limitations of quantum hardware and allow largescale electronic structure simulations. Here, a method to simulate a ten-atom Hydrogen ring by decomposing it into smaller fragments that are amenable to a currently available trapped ion quant...

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Autores principales: Yukio Kawashima, Erika Lloyd, Marc P. Coons, Yunseong Nam, Shunji Matsuura, Alejandro J. Garza, Sonika Johri, Lee Huntington, Valentin Senicourt, Andrii O. Maksymov, Jason H. V. Nguyen, Jungsang Kim, Nima Alidoust, Arman Zaribafiyan, Takeshi Yamazaki
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6066084546d9466e98d99f84047feb2f
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spelling oai:doaj.org-article:6066084546d9466e98d99f84047feb2f2021-11-21T12:27:24ZOptimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition10.1038/s42005-021-00751-92399-3650https://doaj.org/article/6066084546d9466e98d99f84047feb2f2021-11-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00751-9https://doaj.org/toc/2399-3650Problem decomposition methods may help to overcome the size limitations of quantum hardware and allow largescale electronic structure simulations. Here, a method to simulate a ten-atom Hydrogen ring by decomposing it into smaller fragments that are amenable to a currently available trapped ion quantum computer is demonstrated experimentally.Yukio KawashimaErika LloydMarc P. CoonsYunseong NamShunji MatsuuraAlejandro J. GarzaSonika JohriLee HuntingtonValentin SenicourtAndrii O. MaksymovJason H. V. NguyenJungsang KimNima AlidoustArman ZaribafiyanTakeshi YamazakiNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Astrophysics
QB460-466
Physics
QC1-999
spellingShingle Astrophysics
QB460-466
Physics
QC1-999
Yukio Kawashima
Erika Lloyd
Marc P. Coons
Yunseong Nam
Shunji Matsuura
Alejandro J. Garza
Sonika Johri
Lee Huntington
Valentin Senicourt
Andrii O. Maksymov
Jason H. V. Nguyen
Jungsang Kim
Nima Alidoust
Arman Zaribafiyan
Takeshi Yamazaki
Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
description Problem decomposition methods may help to overcome the size limitations of quantum hardware and allow largescale electronic structure simulations. Here, a method to simulate a ten-atom Hydrogen ring by decomposing it into smaller fragments that are amenable to a currently available trapped ion quantum computer is demonstrated experimentally.
format article
author Yukio Kawashima
Erika Lloyd
Marc P. Coons
Yunseong Nam
Shunji Matsuura
Alejandro J. Garza
Sonika Johri
Lee Huntington
Valentin Senicourt
Andrii O. Maksymov
Jason H. V. Nguyen
Jungsang Kim
Nima Alidoust
Arman Zaribafiyan
Takeshi Yamazaki
author_facet Yukio Kawashima
Erika Lloyd
Marc P. Coons
Yunseong Nam
Shunji Matsuura
Alejandro J. Garza
Sonika Johri
Lee Huntington
Valentin Senicourt
Andrii O. Maksymov
Jason H. V. Nguyen
Jungsang Kim
Nima Alidoust
Arman Zaribafiyan
Takeshi Yamazaki
author_sort Yukio Kawashima
title Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
title_short Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
title_full Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
title_fullStr Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
title_full_unstemmed Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
title_sort optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6066084546d9466e98d99f84047feb2f
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