Dynamic Quantum Resource Allocation Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel dynamic quantum resource allocation algorithm designed to optimize quantum computing efficiency. The core claim is that static quantum resource allocation is insufficient for diverse quantum computing tasks. The proposed mechanism dynamically adjusts resource allocation based on task characteristics and current state, addressing this limitation. The algorithm incorporates a feedback loop analyzing task progress and resource utilization to refine the allocation strategy in real-time. This approach aims to mitigate the challenges of resource contention and maximize the utilization of available quantum resources, leading to improved performance across a range of quantum computing applications. The algorithm's effectiveness is evaluated through theoretical analysis and conceptual design, laying the groundwork for future experimental validation. The key innovation lies in its adaptability, contrasting with existing methods that typically employ fixed resource assignments.

DOI: 10.5281/zenodo.22273865

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