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Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching
This paper experimentally investigates the behavior of analog quantum computers such as commercialized by D-Wave when confronted to instances of the maximum cardinality matching problem specifically designed to be hard to solve by means of simulated annealing. We benchmark a D-Wave “Washington” (2X)...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304699/ http://dx.doi.org/10.1007/978-3-030-50433-5_37 |
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author | Vert, Daniel Sirdey, Renaud Louise, Stéphane |
author_facet | Vert, Daniel Sirdey, Renaud Louise, Stéphane |
author_sort | Vert, Daniel |
collection | PubMed |
description | This paper experimentally investigates the behavior of analog quantum computers such as commercialized by D-Wave when confronted to instances of the maximum cardinality matching problem specifically designed to be hard to solve by means of simulated annealing. We benchmark a D-Wave “Washington” (2X) with 1098 operational qubits on various sizes of such instances and observe that for all but the most trivially small of these it fails to obtain an optimal solution. Thus, our results suggest that quantum annealing, at least as implemented in a D-Wave device, falls in the same pitfalls as simulated annealing and therefore provides additional evidences suggesting that there exist polynomial-time problems that such a machine cannot solve efficiently to optimality. |
format | Online Article Text |
id | pubmed-7304699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73046992020-06-22 Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching Vert, Daniel Sirdey, Renaud Louise, Stéphane Computational Science – ICCS 2020 Article This paper experimentally investigates the behavior of analog quantum computers such as commercialized by D-Wave when confronted to instances of the maximum cardinality matching problem specifically designed to be hard to solve by means of simulated annealing. We benchmark a D-Wave “Washington” (2X) with 1098 operational qubits on various sizes of such instances and observe that for all but the most trivially small of these it fails to obtain an optimal solution. Thus, our results suggest that quantum annealing, at least as implemented in a D-Wave device, falls in the same pitfalls as simulated annealing and therefore provides additional evidences suggesting that there exist polynomial-time problems that such a machine cannot solve efficiently to optimality. 2020-05-25 /pmc/articles/PMC7304699/ http://dx.doi.org/10.1007/978-3-030-50433-5_37 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Vert, Daniel Sirdey, Renaud Louise, Stéphane Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching |
title | Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching |
title_full | Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching |
title_fullStr | Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching |
title_full_unstemmed | Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching |
title_short | Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching |
title_sort | revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304699/ http://dx.doi.org/10.1007/978-3-030-50433-5_37 |
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