Quantum Entanglement-Driven Distributed Computing Resource Scheduling

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed computing resource scheduling leveraging the unique properties of quantum entanglement. Traditional resource scheduling methods suffer from inefficiencies and high latency due to reliance on classical communication. Our framework utilizes entangled states between computational nodes to enable efficient task allocation, rapid data transfer, and real-time resource monitoring. The core claim is that exploiting the non-local nature of entanglement can overcome the limitations of current methods. The proposed mechanism involves constructing a quantum entanglement-based resource scheduling system, facilitating parallel task execution and high-speed data transmission. Mathematical models are presented to illustrate the potential performance gains and key considerations for this approach. This research contributes to the emerging field of quantum computing and offers a promising avenue for optimizing distributed computing systems.

DOI: 10.5281/zenodo.22315627

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