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_US
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_US
dc.description.urihttps://www.nature.com/articles/s41598-024-55314-zen_US
dc.format.extent11 pagesen_US
dc.genrejournal articlesen_US
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.isoen_USen_US
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_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleEfficiency optimization in quantum computing: balancing thermodynamics and computational performance en_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-0504-6932en_US

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