001050206 001__ 1050206
001050206 005__ 20260113204522.0
001050206 0247_ $$2doi$$a10.1103/vfxh-gjgy
001050206 0247_ $$2ISSN$$a2469-9926
001050206 0247_ $$2ISSN$$a2469-9942
001050206 0247_ $$2ISSN$$a2469-9934
001050206 0247_ $$2datacite_doi$$a10.34734/FZJ-2026-00024
001050206 037__ $$aFZJ-2026-00024
001050206 041__ $$aEnglish
001050206 082__ $$a530
001050206 1001_ $$0P:(DE-Juel1)176997$$aMehta, Vrinda$$b0$$eCorresponding author
001050206 245__ $$aUnraveling reverse annealing: A study of D-Wave quantum annealers
001050206 260__ $$aWoodbury, NY$$bInst.$$c2025
001050206 3367_ $$2DRIVER$$aarticle
001050206 3367_ $$2DataCite$$aOutput Types/Journal article
001050206 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1768295763_7763
001050206 3367_ $$2BibTeX$$aARTICLE
001050206 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001050206 3367_ $$00$$2EndNote$$aJournal Article
001050206 520__ $$aD-Wave quantum annealers offer reverse annealing as a feature allowing them to refine solutions to optimization problems. This paper investigates the influence of key parameters, such as annealing times and reversal distance, on the behavior of reverse annealing by studying models containing up to 1000 qubits. Through the analysis of theoretical models and experimental data, we explore the interplay between quantum and classical processes in describing the empirical data. Our findings provide a deeper understanding that can better equip users to fully harness the potential of the D-Wave annealers.
001050206 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001050206 536__ $$0G:(DE-Juel-1)76.06.04.-000157$$aEPIQ - Entwicklungspartnerschaft Ionenfallen-Quantencomputer in NRW (76.06.04.-000157)$$c76.06.04.-000157$$x1
001050206 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001050206 7001_ $$0P:(DE-Juel1)179169$$aDe Raedt, Hans$$b1
001050206 7001_ $$0P:(DE-Juel1)138295$$aMichielsen, Kristel$$b2$$ufzj
001050206 7001_ $$0P:(DE-Juel1)144355$$aJin, Fengping$$b3
001050206 773__ $$0PERI:(DE-600)2844156-4$$a10.1103/vfxh-gjgy$$gVol. 112, no. 1, p. 012414$$n1$$p012414$$tPhysical review / A$$v112$$x2469-9926$$y2025
001050206 8564_ $$uhttps://juser.fz-juelich.de/record/1050206/files/vfxh-gjgy.pdf$$yOpenAccess
001050206 909CO $$ooai:juser.fz-juelich.de:1050206$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001050206 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176997$$aForschungszentrum Jülich$$b0$$kFZJ
001050206 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)179169$$aForschungszentrum Jülich$$b1$$kFZJ
001050206 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138295$$aForschungszentrum Jülich$$b2$$kFZJ
001050206 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144355$$aForschungszentrum Jülich$$b3$$kFZJ
001050206 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001050206 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-02
001050206 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-02
001050206 915__ $$0StatID:(DE-HGF)1230$$2StatID$$aDBCoverage$$bCurrent Contents - Electronics and Telecommunications Collection$$d2025-01-02
001050206 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001050206 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2025-01-02
001050206 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-01-02
001050206 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-02
001050206 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001050206 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-01-02
001050206 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-02
001050206 920__ $$lyes
001050206 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001050206 980__ $$ajournal
001050206 980__ $$aVDB
001050206 980__ $$aUNRESTRICTED
001050206 980__ $$aI:(DE-Juel1)JSC-20090406
001050206 9801_ $$aFullTexts