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Scalable distributed gate-model quantum computers

A scalable model for a distributed quantum computation is a challenging problem due to the complexity of the problem space provided by the diversity of possible quantum systems, from small-scale quantum devices to large-scale quantum computers. Here, we define a model of scalable distributed gate-mo...

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Detalles Bibliográficos
Autores principales: Gyongyosi, Laszlo, Imre, Sandor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910494/
https://www.ncbi.nlm.nih.gov/pubmed/33637770
http://dx.doi.org/10.1038/s41598-020-76728-5
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author Gyongyosi, Laszlo
Imre, Sandor
author_facet Gyongyosi, Laszlo
Imre, Sandor
author_sort Gyongyosi, Laszlo
collection PubMed
description A scalable model for a distributed quantum computation is a challenging problem due to the complexity of the problem space provided by the diversity of possible quantum systems, from small-scale quantum devices to large-scale quantum computers. Here, we define a model of scalable distributed gate-model quantum computation in near-term quantum systems of the NISQ (noisy intermediate scale quantum) technology era. We prove that the proposed architecture can maximize an objective function of a computational problem in a distributed manner. We study the impacts of decoherence on distributed objective function evaluation.
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spelling pubmed-79104942021-03-02 Scalable distributed gate-model quantum computers Gyongyosi, Laszlo Imre, Sandor Sci Rep Article A scalable model for a distributed quantum computation is a challenging problem due to the complexity of the problem space provided by the diversity of possible quantum systems, from small-scale quantum devices to large-scale quantum computers. Here, we define a model of scalable distributed gate-model quantum computation in near-term quantum systems of the NISQ (noisy intermediate scale quantum) technology era. We prove that the proposed architecture can maximize an objective function of a computational problem in a distributed manner. We study the impacts of decoherence on distributed objective function evaluation. Nature Publishing Group UK 2021-02-26 /pmc/articles/PMC7910494/ /pubmed/33637770 http://dx.doi.org/10.1038/s41598-020-76728-5 Text en © The Author(s) 2021 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/.
spellingShingle Article
Gyongyosi, Laszlo
Imre, Sandor
Scalable distributed gate-model quantum computers
title Scalable distributed gate-model quantum computers
title_full Scalable distributed gate-model quantum computers
title_fullStr Scalable distributed gate-model quantum computers
title_full_unstemmed Scalable distributed gate-model quantum computers
title_short Scalable distributed gate-model quantum computers
title_sort scalable distributed gate-model quantum computers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910494/
https://www.ncbi.nlm.nih.gov/pubmed/33637770
http://dx.doi.org/10.1038/s41598-020-76728-5
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