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HybriD-GM：一种面向混合并行架构的量子计算模拟框架。

HybriD-GM: A Framework for Quantum Computing Simulation Targeted to Hybrid Parallel Architectures.

作者信息

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

机构信息

Center of Technological Development, Federal University of Pelotas, Pelotas 96010-610, Brazil.

Centro de Ciências Computacionais, Universidade Federal do Rio Grande, Rio Grande 96201-900, Brazil.

出版信息

Entropy (Basel). 2023 Mar 14;25(3):503. doi: 10.3390/e25030503.

DOI:10.3390/e25030503
PMID:36981391
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10048558/
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.

摘要

本文介绍了从建模到合并的HybriD - GM模型概念。D - GM环境也得到了扩展，为量子计算模拟提供了高效的并行执行，适用于考虑CPU和GPU集成的混合架构。通过管理量子结构上的投影算子，并探索合并内存访问模式，HybriD - GM模型实现了粒度控制，在组织为树状数据结构的分布式计算中优化硬件资源。在HybriD - GM评估中，与之前的D - GM版本相比，以及与其他相关工作（例如LIQUi|⟩和ProjectQ模拟器）相比，Shor算法和Grover算法的模拟实现了显著的性能提升。

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本文引用的文献

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Towards Quantum Control with Advanced Quantum Computing: A Perspective.迈向先进量子计算的量子控制：一种观点。
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Dynamical Localization Simulated on Actual Quantum Hardware.在实际量子硬件上模拟动态定位
Entropy (Basel). 2021 May 23;23(6):654. doi: 10.3390/e23060654.
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