Quantum Entanglement-Driven Distributed Computing Heterogeneity Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed computing heterogeneity optimization driven by quantum entanglement. Traditional distributed computing systems face significant challenges in efficiently utilizing diverse computing resources, leading to performance bottlenecks. We introduce a framework that leverages the unique properties of quantum entanglement to establish a quantum entanglement network, enabling high-fidelity, low-latency communication and computation across heterogeneous nodes. The core idea involves distributing computational tasks across these nodes based on their specific capabilities, utilizing entangled states to facilitate efficient data exchange and collaborative processing. The theoretical framework is presented, outlining the key mathematical concepts and optimization strategies. We demonstrate the potential of this approach to overcome the limitations of conventional methods and achieve significant improvements in distributed computing performance. The proposed system utilizes entanglement to achieve a level of computational coordination previously unattainable, offering a fundamentally new paradigm for distributed problem-solving. The focus here is on the theoretical foundations and potential benefits of the entanglement-based approach.

DOI: 10.5281/zenodo.22449357

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