Quantum Entanglement-Based Distributed Algorithm Parallel Acceleration

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper investigates the potential for accelerating distributed algorithms utilizing quantum entanglement. The core concept involves leveraging the instantaneous correlation inherent in entangled quantum states to facilitate communication and synchronization between distributed computing nodes, theoretically bypassing the limitations imposed by classical communication constraints. We propose a framework for designing algorithms where nodes, each handling a portion of the data, exploit entanglement to achieve a form of parallel computation. The theoretical analysis demonstrates how this entanglement-mediated communication can, under specific conditions, lead to a significant speedup compared to traditional distributed algorithms. This work explores the fundamental principles and potential challenges associated with this approach, focusing on the algorithmic design and the necessary conditions for achieving observable acceleration. The key focus is on the theoretical underpinnings, acknowledging the significant technological hurdles involved in realizing this concept in practice. The presented model does not involve experimental results, instead focusing on the theoretical framework and potential impact.

DOI: 10.5281/zenodo.22219853

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