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Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability

Closed-system quantum annealing is expected to sometimes fail spectacularly in solving simple problems for which the gap becomes exponentially small in the problem size. Much less is known about whether this gap scaling also impedes open-system quantum annealing. Here, we study the performance of a...

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Detalles Bibliográficos
Autores principales: Mishra, Anurag, Albash, Tameem, Lidar, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060131/
https://www.ncbi.nlm.nih.gov/pubmed/30046092
http://dx.doi.org/10.1038/s41467-018-05239-9
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author Mishra, Anurag
Albash, Tameem
Lidar, Daniel A.
author_facet Mishra, Anurag
Albash, Tameem
Lidar, Daniel A.
author_sort Mishra, Anurag
collection PubMed
description Closed-system quantum annealing is expected to sometimes fail spectacularly in solving simple problems for which the gap becomes exponentially small in the problem size. Much less is known about whether this gap scaling also impedes open-system quantum annealing. Here, we study the performance of a quantum annealing processor in solving such a problem: a ferromagnetic chain with sectors of alternating coupling strength that is classically trivial but exhibits an exponentially decreasing gap in the sector size. The gap is several orders of magnitude smaller than the device temperature. Contrary to the closed-system expectation, the success probability rises for sufficiently large sector sizes. The success probability is strongly correlated with the number of thermally accessible excited states at the critical point. We demonstrate that this behavior is consistent with a quantum open-system description that is unrelated to thermal relaxation, and is instead dominated by the system’s properties at the critical point.
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spelling pubmed-60601312018-07-27 Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability Mishra, Anurag Albash, Tameem Lidar, Daniel A. Nat Commun Article Closed-system quantum annealing is expected to sometimes fail spectacularly in solving simple problems for which the gap becomes exponentially small in the problem size. Much less is known about whether this gap scaling also impedes open-system quantum annealing. Here, we study the performance of a quantum annealing processor in solving such a problem: a ferromagnetic chain with sectors of alternating coupling strength that is classically trivial but exhibits an exponentially decreasing gap in the sector size. The gap is several orders of magnitude smaller than the device temperature. Contrary to the closed-system expectation, the success probability rises for sufficiently large sector sizes. The success probability is strongly correlated with the number of thermally accessible excited states at the critical point. We demonstrate that this behavior is consistent with a quantum open-system description that is unrelated to thermal relaxation, and is instead dominated by the system’s properties at the critical point. Nature Publishing Group UK 2018-07-25 /pmc/articles/PMC6060131/ /pubmed/30046092 http://dx.doi.org/10.1038/s41467-018-05239-9 Text en © The Author(s) 2018 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
Mishra, Anurag
Albash, Tameem
Lidar, Daniel A.
Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
title Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
title_full Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
title_fullStr Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
title_full_unstemmed Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
title_short Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
title_sort finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060131/
https://www.ncbi.nlm.nih.gov/pubmed/30046092
http://dx.doi.org/10.1038/s41467-018-05239-9
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