Quantum Computation Resource Scheduling and Optimization Theory

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper presents a novel theoretical framework for resource scheduling and optimization within quantum computing. The core claim is to establish a method capable of optimally allocating quantum resources based on the specific characteristics of quantum programs and the constraints imposed by hardware limitations. The proposed approach leverages linear programming and combinatorial optimization techniques to formulate a quantum computation resource scheduling model. An algorithm is designed to optimize this model, ultimately leading to efficient resource utilization. The research addresses a complex and evolving area of quantum computing, aiming to provide a foundational theory for practical quantum resource management. The key contribution lies in the development of a tailored optimization model that considers the unique demands of quantum algorithms and the inherent limitations of quantum hardware. This work lays the groundwork for future advancements in quantum computation by offering a systematic approach to resource allocation.

DOI: 10.5281/zenodo.22153423

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