##基于拓扑网络和量子计算的分布式算法实现

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper presents a novel approach to distributed algorithm implementation leveraging the strengths of both topological networks and quantum computing. The core idea is to construct a distributed algorithm implementation platform that utilizes the inherent connectivity of a topological network alongside the parallel processing capabilities of quantum computers. This architecture aims to drastically reduce the latency and increase the efficiency of running complex distributed algorithms. The proposed system addresses the challenges of traditional distributed computing by utilizing quantum parallelism and the optimized communication channels afforded by a carefully designed topology. This work outlines the fundamental design principles, key components, and potential applications of this hybrid system. The presented framework offers a pathway towards achieving significant advancements in computationally intensive distributed tasks, including optimization problems, machine learning, and cryptography. ---

DOI: 10.5281/zenodo.22337185

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