Efficiency optimization in quantum computing: balancing thermodynamics and computational performance

dc.contributor.authorSmierzchalsk, Tomasz
dc.contributor.authorMzaouali, Zakaria
dc.contributor.authorDeffner, Sebastian
dc.contributor.authorGardas, Bartłomiej
dc.date.accessioned2023-09-12T17:44:37Z
dc.date.available2023-09-12T17:44:37Z
dc.date.issued2024-02-24
dc.description.abstractWe investigate the computational efficiency and thermodynamic cost of the D-Wave quantum annealer under reverse-annealing with and without pausing. Our demonstration on the D-Wave 2000Q annealer shows that the combination of reverse-annealing and pausing leads to improved computational efficiency while minimizing the thermodynamic cost compared to reverse-annealing alone. Moreover, we find that the magnetic field has a positive impact on the performance of the quantum annealer during reverse-annealing but becomes detrimental when pausing is involved. Our results, which are reproducible, provide strategies for optimizing the performance and energy consumption of quantum annealing systems employing reverse-annealing protocols.en
dc.description.sponsorshipWe would like to thank L. Buffoni and M. Campisi for valuable discussions. T.Ś. and Z.M. acknowledge support from the National Science Center (NCN), Poland, under Project No. 2020/38/E/ST3/00269. S.D. acknowledges support from the U.S. National Science Foundation under Grant No. DMR-2010127 and the John Templeton Foundation under Grant No. 62422. B.G. acknowledges support from Foundation for Polish Science (grant no POIR.04.04.00-00-14DE/ 18-00 carried out within the Team-Net program co-financed by the European Union 7 under the European Regional Development Fund).en
dc.description.urihttps://www.nature.com/articles/s41598-024-55314-zen
dc.format.extent11 pagesen
dc.genrejournal articlesen
dc.identifierdoi:10.13016/m2wxyd-wdf3
dc.identifier.citationŚmierzchalski, Tomasz, Zakaria Mzaouali, Sebastian Deffner, and Bartłomiej Gardas. “Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance.” Scientific Reports 14, no. 1 (February 24, 2024): 4555. https://doi.org/10.1038/s41598-024-55314-z.
dc.identifier.urihttps://doi.org/10.1038/s41598-024-55314-z
dc.identifier.urihttp://hdl.handle.net/11603/29655
dc.language.isoenen
dc.publisherSpringer Nature
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Physics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleEfficiency optimization in quantum computing: balancing thermodynamics and computational performanceen
dc.typeTexten
dcterms.creatorhttps://orcid.org/0000-0003-0504-6932en

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