Based on Quantum Entanglement for Distributed Computing Resource Optimization

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of utilizing quantum entanglement for optimizing distributed computing resources. The core claim is that leveraging the unique properties of quantum entanglement can facilitate more efficient and low-latency communication and collaboration between distributed computing nodes, ultimately enhancing overall computational performance. The proposed system establishes "quantum links" between nodes through entanglement, bypassing traditional physical distance limitations and enabling instantaneous information transfer via entangled states. Advanced distributed algorithms, combined with the optimization of entanglement generation and maintenance, allow for dynamic task allocation, resource scheduling, and result consolidation. This research represents a novel approach to distributed computing resource optimization, addressing the limitations imposed by conventional communication bottlenecks, even within the current nascent stage of quantum computing. The theoretical framework presented here provides a foundation for future exploration into the practical implementation of entanglement-based distributed computing systems. ---

DOI: 10.5281/zenodo.22342450

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