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Study and evaluation of quantum computer automatic offloading of specific calculation processing for environmental adaptation.

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Titel: Study and evaluation of quantum computer automatic offloading of specific calculation processing for environmental adaptation.
Autoren: Yamato, Yoji
Quelle: International Journal of Parallel, Emergent & Distributed Systems; Sep2025, Vol. 40 Issue 5, p570-582, 13p
Schlagwörter: QUANTUM computing, HIGH performance computing, RESOURCE allocation, SOFTWARE architecture, HETEROGENEOUS computing, ALGORITHMS
Firma/Körperschaft: MICROSOFT Corp.
Abstract: In recent years, applications using heterogeneous hardware such as GPUs and FPGAs are on the rise. However, to fully utilize these applications, an understanding of the hardware is necessary, and the barrier to success is high. In light of this, we have proposed an environment-adaptive software that automatically converts code written by programmers for regular CPUs according to the environment in which it is deployed, enabling high-performance operation. This paper focuses on quantum computers in particular as a part of automatic offloading to new hardware. We achieve automatic offloading by analyzing existing applications to be offloaded, discovering specific computational processes such as the eigenvalue solvers that are suitable for quantum computers, and replacing those parts with processes that use quantum computers. We confirm that the proposed method can be automatically offloaded to a quantum computer and executed by measuring the actual processing time on Microsoft Azure Quantum. [ABSTRACT FROM AUTHOR]
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Abstract:In recent years, applications using heterogeneous hardware such as GPUs and FPGAs are on the rise. However, to fully utilize these applications, an understanding of the hardware is necessary, and the barrier to success is high. In light of this, we have proposed an environment-adaptive software that automatically converts code written by programmers for regular CPUs according to the environment in which it is deployed, enabling high-performance operation. This paper focuses on quantum computers in particular as a part of automatic offloading to new hardware. We achieve automatic offloading by analyzing existing applications to be offloaded, discovering specific computational processes such as the eigenvalue solvers that are suitable for quantum computers, and replacing those parts with processes that use quantum computers. We confirm that the proposed method can be automatically offloaded to a quantum computer and executed by measuring the actual processing time on Microsoft Azure Quantum. [ABSTRACT FROM AUTHOR]
ISSN:17445760
DOI:10.1080/17445760.2025.2450669