Quantum Entanglement-Driven Dynamic Topology Search

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of quantum entanglement to dynamic topology optimization, specifically focusing on the design of an adaptive path search algorithm. The core concept is to leverage quantum entanglement to dynamically modulate the topology of a network, thereby enhancing computational efficiency and stability. Traditional optimization methods often struggle with dynamic environments, necessitating a novel approach utilizing quantum entanglement. This work presents a theoretical framework and preliminary implementation of such an algorithm, demonstrating the potential for significant improvements in pathfinding within complex, evolving topologies. We analyze the impact of entanglement-driven topology adjustments on the search process and evaluate the algorithm's performance relative to existing techniques.

DOI: 10.5281/zenodo.22266381

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