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HybriD-GM: Um Modelo Paralelo para Computação Quântica direcionado às Arquiteturas Híbridas

Year: 2024

Type: conference-paper

Abstract: This paper has as its primary objective to introduce the the HybriD-GM model conception, as well as extend the D-GM environment, providing efficient parallel executions for quantum computing simulations, targeted to hybrid architectures considering both CPU and GPU. By managing projection operators over quantum structures, and exploring coalescing memory access patterns, the HybriD-GM model enables the 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 D-GM previous version and to the LIQUi|⟩ and ProjectQ simulators.

DOI: 10.5753/sscad.2024.244757

Authors: Anderson Avila, Bruno Moura, Rafael Bastos, Helida Santos, Giancarlo Lucca, Anderson Cruz, Samuel Xavier-de-Souza, Adenauer Yamin, Renata Reiser

Institutions: Universidade Federal de Pelotas, Universidade Federal do Pampa, Universidade Federal do Rio Grande, Universidade Católica de Pelotas, Universidade Federal do Rio Grande do Norte

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4403757949

FWCI: 0.587

Cites: 11

Cited by: 2

Related to: 10