Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem: quantum circuit compilation by genetic algorithm for qaoa applied to maxcut problem

Arufe Rivas, Lis; González Fernández, Miguel Ángel; Oddi, A.; Rasconi, R.; Varela Arias, José Ramiro

doi:10.1016/j.swevo.2022.101030

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Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem: quantum circuit compilation by genetic algorithm for qaoa applied to maxcut problem

dc.contributor.author	Arufe Rivas, Lis
dc.contributor.author	González Fernández, Miguel Ángel
dc.contributor.author	Oddi, A.
dc.contributor.author	Rasconi, R.
dc.contributor.author	Varela Arias, José Ramiro
dc.date.accessioned	2022-10-25T11:11:17Z
dc.date.available	2022-10-25T11:11:17Z
dc.date.issued	2022
dc.identifier.citation	Swarm and Evolutionary Computation, 69 (2022); doi:10.1016/j.swevo.2022.101030
dc.identifier.issn	2210-6502
dc.identifier.uri	http://hdl.handle.net/10651/65238
dc.description.sponsorship	This research has been supported by the Spanish Government under research projects TIN2016-79190-R and PID2019-106263RB-I00/AEI/10.13039/501100011033, and by the Principality of Asturias under grant FC-GRUPIN-IDI/2018/000176. A. Oddi and R. Rasconi were supported by the ESA Contract No. 4000112300/14/D/MRP “Mars Express Data Planning Tool MEXAR2 Maintenance”.
dc.language.iso	eng
dc.relation.ispartof	Swarm and evolutionary computation
dc.rights	© 2022 Elsevier B.V.
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122993051&doi=10.1016%2fj.swevo.2022.101030&partnerID=40&md5=28f8bf06528cfcb3a6094a4c6ab165f6
dc.title	Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to maxcut problem: quantum circuit compilation by genetic algorithm for qaoa applied to maxcut problem
dc.type	journal article
dc.identifier.doi	10.1016/j.swevo.2022.101030
dc.local.notes	OA ATUO22
dc.relation.projectID	TIN2016-79190-R
dc.relation.projectID	PID2019-106263RB-I00/AEI/10.13039/501100011033
dc.relation.projectID	FC-GRUPIN-IDI/2018/000176
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.swevo.2022.101030
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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