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Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm 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 | |
| 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 | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106263RB-I00/ES/SCHEDULING, OPTIMIZACION, NUEVOS RETOS, NUEVOS METODOS/ | |
| 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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