A Framework for Integrating Quantum Simulation and High Performance Computing
Amir Shehata, Thomas Naughton, and In-Saeng Suh

TL;DR
This paper presents a framework that simplifies access to quantum simulation software on high-performance computing systems, enabling scalable quantum experiments and easing integration for scientific applications.
Contribution
It introduces a classification of quantum simulation usage models in HPC, reviews the software architecture, and demonstrates a prototype with experimental results on a supercomputer.
Findings
Successful implementation on the Frontier supercomputer
Effective resource management for quantum simulations
Initial benchmarking results using SupermarQ framework
Abstract
Scientific applications are starting to explore the viability of quantum computing. This exploration typically begins with quantum simulations that can run on existing classical platforms, albeit without the performance advantages of real quantum resources. In the context of high-performance computing (HPC), the incorporation of simulation software can often take advantage of the powerful resources to help scale-up the simulation size. The configuration, installation and operation of these quantum simulation packages on HPC resources can often be rather daunting and increases friction for experimentation by scientific application developers. We describe a framework to help streamline access to quantum simulation software running on HPC resources. This includes an interface for circuit-based quantum computing tasks, as well as the necessary resource management infrastructure to make…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Cloud Computing and Resource Management
