HybriD-GM: a framework for quantum computing simulation targeted to hybrid parallel architectures

dc.contributor.authorÁvila, Anderson
dc.contributor.authorSantos, Helida
dc.contributor.authorCruz, Anderson
dc.contributor.authorXavier de Souza, Samuel
dc.contributor.authorLucca, Giancarlo
dc.contributor.authorMoura, Bruno
dc.contributor.authorYamin, Adenauer
dc.contributor.authorReiser, Renata
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.date.accessioned2023-08-10T08:14:15Z
dc.date.available2023-08-10T08:14:15Z
dc.date.issued2023
dc.date.updated2023-08-10T08:09:27Z
dc.description.abstractThis paper presents the HybriD-GM model conception, from modeling to consolidation. The D-GM environment is also extended, providing efficient parallel executions for quantum computing simulations, targeted to hybrid architectures considering the CPU and GPU integration. By managing projection operators over quantum structures, and exploring coalescing memory access patterns, the HybriD-GM model enables granularity control, optimizing hardware resources in distributed computations organized as tree data structures. In the HybriD-GM evaluation, simulations of Shor’s and Grover’s algorithms achieve significant performance improvements in comparison to the previous D-GM version, and also with other related works, for example, LIQUi|⟩ and ProjectQ simulators.en
dc.description.sponsorshipThis research was partially funded by Brazilian funding agencies CAPES, CNPq/MCTI/SEMPI (409696/2022-6), PQ/CNPq (309559/2022-7), PqG/FAPERGS (21/2551-0002057-1), and CNPq/FAPERGS (23/2551-0000126-8) and Fundación “la Caixa” from Spain.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAvila, Anderson, Helida Santos, Anderson Cruz, Samuel Xavier-de-Souza, Giancarlo Lucca, Bruno Moura, Adenauer Yamin, and Renata Reiser. 2023. "HybriD-GM: A Framework for Quantum Computing Simulation Targeted to Hybrid Parallel Architectures" Entropy 25, no. 3: 503. https://doi.org/10.3390/e25030503en
dc.identifier.doi10.3390/e25030503
dc.identifier.issn1099-4300
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45941
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofEntropy 2023, 25, 503en
dc.relation.publisherversionhttps://doi.org/10.3390/e25030503
dc.rights© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGrover´s algorithmen
dc.subjectHybrid computingen
dc.subjectQuantum computingen
dc.subjectQuantum simulationen
dc.subjectShor´s algorithme
dc.titleHybriD-GM: a framework for quantum computing simulation targeted to hybrid parallel architecturesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication8c79084b-8af8-4913-a958-52ca175bd136
relation.isAuthorOfPublication.latestForDiscovery8c79084b-8af8-4913-a958-52ca175bd136

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