HybriD-GM: a framework for quantum computing simulation targeted to hybrid parallel architectures
dc.contributor.author | Ávila, Anderson | |
dc.contributor.author | Santos, Helida | |
dc.contributor.author | Cruz, Anderson | |
dc.contributor.author | Xavier de Souza, Samuel | |
dc.contributor.author | Lucca, Giancarlo | |
dc.contributor.author | Moura, Bruno | |
dc.contributor.author | Yamin, Adenauer | |
dc.contributor.author | Reiser, Renata | |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.date.accessioned | 2023-08-10T08:14:15Z | |
dc.date.available | 2023-08-10T08:14:15Z | |
dc.date.issued | 2023 | |
dc.date.updated | 2023-08-10T08:09:27Z | |
dc.description.abstract | This 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.sponsorship | This 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.mimetype | application/pdf | en |
dc.identifier.citation | Avila, 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/e25030503 | en |
dc.identifier.doi | 10.3390/e25030503 | |
dc.identifier.issn | 1099-4300 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/45941 | |
dc.language.iso | eng | en |
dc.publisher | MDPI | en |
dc.relation.ispartof | Entropy 2023, 25, 503 | en |
dc.relation.publisherversion | https://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.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Grover´s algorithm | en |
dc.subject | Hybrid computing | en |
dc.subject | Quantum computing | en |
dc.subject | Quantum simulation | en |
dc.subject | Shor´s algorithm | e |
dc.title | HybriD-GM: a framework for quantum computing simulation targeted to hybrid parallel architectures | en |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 8c79084b-8af8-4913-a958-52ca175bd136 | |
relation.isAuthorOfPublication.latestForDiscovery | 8c79084b-8af8-4913-a958-52ca175bd136 |