量子-高性能计算中间件的概念架构

Nishant Saurabh, S. Jha, André Luckow
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引用次数: 0

摘要

量子计算对于科学和工业来说非常重要,因为它提供了解决某些复杂问题的潜力,并且比经典计算机执行计算的速度要快得多。量子计算系统从单片系统发展到由多个量子处理单元(qpu)与经典计算节点(HPC)耦合组成的模块化架构。随着规模的不断扩大,能够促进量子经典计算高效耦合的中间件系统变得至关重要。通过对量子应用、集成模式和系统的深入分析,我们发现了理解量子高性能计算中间件系统的差距。我们提出了一个概念性的中间件,以促进量子经典集成的推理,并作为未来中间件系统的基础。本文的一个关键贡献在于利用成熟的高性能计算抽象来管理工作负载、任务和资源,以无缝地将量子计算集成到HPC系统中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Conceptual Architecture for a Quantum-HPC Middleware
Quantum computing is important for science and industry as it offers the potential to solve certain complex problems and perform calculations significantly faster than classical computers. Quantum computing systems evolved from monolithic systems towards modular architectures comprising multiple quantum processing units (QPUs) coupled to classical computing nodes (HPC). With the increasing scale, middleware systems that facilitate the efficient coupling of quantum-classical computing are becoming critical. Through an in-depth analysis of quantum applications, integration patterns and systems, we identified a gap in understanding Quantum-HPC middleware systems. We present a conceptual middleware to facilitate reasoning about quantum-classical integration and serve as the basis for a future middleware system. A key contribution of this paper lies in leveraging well-established high-performance computing abstractions for managing workloads, tasks, and resources to seamlessly integrate quantum computing into HPC systems.
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