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Integrating Quantum Computing with High-Performance Computing: A Streamlined Approach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In recent years, quantum computing has demon-strated the potential to revolutionize specific algorithms and applications by solving problems exponentially faster than classical computers. However, its widespread adoption for general computing remains a future prospect. This paper discusses the integration of quantum computing within High-Performance Computing (HPC) environments, focusing on a resource management framework designed to streamline quantum simulators' use and enhance runtime performance and efficiency. The proposed framework facilitates hybrid applications' transition from simulation backends to real quantum hardware, optimizing resource utilization and providing a flexible infrastructure for developing and testing quantum algorithms.

Original languageEnglish
Title of host publicationWorkshops Program, Posters Program, Panels Program and Tutorials Program
EditorsCandace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages577-578
Number of pages2
ISBN (Electronic)9798331541378
DOIs
StatePublished - 2024
Event5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 - Montreal, Canada
Duration: Sep 15 2024Sep 20 2024

Publication series

NameProceedings - IEEE Quantum Week 2024, QCE 2024
Volume2

Conference

Conference5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024
Country/TerritoryCanada
CityMontreal
Period09/15/2409/20/24

Funding

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Keywords

  • HPC/QC Integration
  • High Performance Computing
  • Quantum Simulation
  • Resource Management

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