Quantum Computers for High-Performance Computing

Travis S. Humble, Alexander McCaskey, Dmitry I. Lyakh, Meenambika Gowrishankar, Albert Frisch, Thomas Monz

Research output: Contribution to journalReview articlepeer-review

30 Scopus citations

Abstract

Quantum computing systems are developing rapidly as powerful solvers for a variety of real-world calculations. Traditionally, many of these same applications are solved using conventional high-performance computing (HPC) systems, which have progressed sharply through decades of hardware and software improvements. Here, we present a perspective on the motivations and challenges of pairing quantum computing systems with modern HPC infrastructure. We outline considerations and requirements for the use cases, macroarchitecture, microarchitecture, and programming models needed to integrate near-term quantum computers with HPC system, and we conclude with the expectation that such efforts are well within reach of current technology.

Original languageEnglish
Pages (from-to)15-23
Number of pages9
JournalIEEE Micro
Volume41
Issue number5
DOIs
StatePublished - Sep 1 2021

Funding

This work was supported in part by the Department of Energy, Office of Science, Early Career Research Program. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. This article has been authored by UT-Battelle, LLC, under Contract DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this article, or allow others to do so, for U.S. government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy. gov/downloads/doepublic-access-plan).

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