Dynamic Controlled Quantum Resource Allocation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum resource allocation that addresses the inherent challenges posed by quantum decoherence. Traditional quantum computing resource management strategies often rely on static allocation schemes, which are ill-suited for the dynamic nature of quantum systems. This research proposes a dynamic control framework that leverages real-time monitoring of quantum state decoherence to optimize resource allocation. The core claim is that by continuously adapting to the fluctuating decoherence levels, we can maximize the effectiveness of quantum computations. The proposed mechanism involves measuring decoherence, evaluating current task resource needs, and dynamically adjusting qubit allocation, control, and error correction protocols. This approach offers a significant advancement over existing methods and provides a pathway toward more robust and efficient quantum computation. The system aims to mitigate the detrimental effects of decoherence, a primary obstacle in the practical realization of quantum algorithms. The theoretical framework and the proposed control strategies are detailed within this document.

DOI: 10.5281/zenodo.22635854

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