001010627 001__ 1010627
001010627 005__ 20240226075458.0
001010627 0247_ $$2doi$$a10.1103/PhysRevA.106.042446
001010627 0247_ $$2ISSN$$a2469-9926
001010627 0247_ $$2ISSN$$a2469-9942
001010627 0247_ $$2ISSN$$a2469-9934
001010627 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-03142
001010627 0247_ $$2WOS$$aWOS:000883685200004
001010627 037__ $$aFZJ-2023-03142
001010627 041__ $$aEnglish
001010627 082__ $$a530
001010627 1001_ $$0P:(DE-Juel1)188131$$aHeadley, David$$b0$$eCorresponding author
001010627 245__ $$aApproximating the quantum approximate optimization algorithm with digital-analog interactions
001010627 260__ $$aWoodbury, NY$$bInst.$$c2022
001010627 3367_ $$2DRIVER$$aarticle
001010627 3367_ $$2DataCite$$aOutput Types/Journal article
001010627 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1692766055_4153
001010627 3367_ $$2BibTeX$$aARTICLE
001010627 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001010627 3367_ $$00$$2EndNote$$aJournal Article
001010627 520__ $$aThe quantum approximate optimization algorithm was proposed as a heuristic method for solving combinatorial optimization problems on near-term quantum computers and may be among the first algorithms to perform useful computations in the postsupremacy, noisy, intermediate-scale era of quantum computing. In this work we exploit the recently proposed digital-analog quantum computation paradigm, in which the versatility of programmable universal quantum computers and the error resilience of quantum simulators are combined to improve platforms for quantum computation. We show that the digital-analog paradigm is suited to the quantum approximate optimization algorithm due to the algorithm's variational resilience against the coherent errors introduced by the scheme. By performing large-scale simulations and providing analytical bounds for its performance in devices with finite single-qubit operation time we observe regimes of single-qubit operation speed in which the considered variational algorithm provides a significant improvement over nonvariational counterparts in the digital-analog scheme.
001010627 536__ $$0G:(DE-HGF)POF4-5215$$a5215 - Towards Quantum and Neuromorphic Computing Functionalities (POF4-521)$$cPOF4-521$$fPOF IV$$x0
001010627 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001010627 7001_ $$0P:(DE-HGF)0$$aMüller, Thorge$$b1
001010627 7001_ $$00000-0002-1461-0657$$aMartin, Ana$$b2
001010627 7001_ $$0P:(DE-HGF)0$$aSolano, Enrique$$b3
001010627 7001_ $$0P:(DE-HGF)0$$aSanz, Mikel$$b4
001010627 7001_ $$0P:(DE-Juel1)184630$$aWilhelm-Mauch, Frank$$b5$$eCorresponding author
001010627 773__ $$0PERI:(DE-600)2844156-4$$a10.1103/PhysRevA.106.042446$$gVol. 106, no. 4, p. 042446$$n4$$p042446$$tPhysical review / A$$v106$$x2469-9926$$y2022
001010627 8564_ $$uhttps://juser.fz-juelich.de/record/1010627/files/PhysRevA.106.042446.pdf$$yOpenAccess
001010627 909CO $$ooai:juser.fz-juelich.de:1010627$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001010627 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)188131$$aForschungszentrum Jülich$$b0$$kFZJ
001010627 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)184630$$aForschungszentrum Jülich$$b5$$kFZJ
001010627 9131_ $$0G:(DE-HGF)POF4-521$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5215$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vQuantum Materials$$x0
001010627 9141_ $$y2023
001010627 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)1230$$2StatID$$aDBCoverage$$bCurrent Contents - Electronics and Telecommunications Collection$$d2023-03-31
001010627 915__ $$0LIC:(DE-HGF)APS-112012$$2HGFVOC$$aAmerican Physical Society Transfer of Copyright Agreement
001010627 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPHYS REV A : 2021$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001010627 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-03-31
001010627 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-03-31
001010627 920__ $$lyes
001010627 9201_ $$0I:(DE-Juel1)PGI-12-20200716$$kPGI-12$$lQuantum Computing Analytics$$x0
001010627 980__ $$ajournal
001010627 980__ $$aVDB
001010627 980__ $$aUNRESTRICTED
001010627 980__ $$aI:(DE-Juel1)PGI-12-20200716
001010627 9801_ $$aFullTexts