Quantum Entanglement-Driven Distributed Algorithm Acceleration

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed algorithm acceleration leveraging the unique properties of quantum entanglement. The core idea is to utilize entangled states to facilitate instantaneous information transfer and collaborative computation between distributed nodes, thereby significantly boosting the performance of existing distributed algorithms. The proposed method addresses the inherent limitations of traditional distributed computing, particularly the bottleneck caused by data transmission delays. We outline a distributed algorithm protocol based on entanglement sharing, where nodes collaboratively process parts of a computational task using the correlated information provided by entangled states. The key challenges lie in the generation and maintenance of stable entanglement across long distances. We explore the theoretical framework and potential benefits of this approach, highlighting its ability to overcome limitations imposed by classical communication. The theoretical analysis demonstrates the potential for achieving exponential speedups in certain distributed algorithms, contingent upon the quality and stability of the entanglement network. Further research will focus on practical implementation strategies and addressing the technological hurdles associated with robust entanglement distribution.

DOI: 10.5281/zenodo.22314502

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