Dynamic Topology Mapping and Quantum Entanglement Optimization Algorithm

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel dynamic topology mapping algorithm that leverages quantum entanglement to optimize complex systems. Traditional optimization techniques often struggle with finding optimal solutions, particularly in intricate and highly sensitive systems. We propose a new approach utilizing quantum entanglement to dynamically adjust the topology of a system, mitigating the risks of local optima and enabling more efficient and stable solutions. The algorithm's core mechanism centers around creating entangled states that represent the potential topology variations, allowing for a continuous exploration of the solution space guided by quantum principles. This paper details the algorithm's design, mathematical formulation, and preliminary experimental results demonstrating its efficacy in optimizing a challenging, multi-dimensional system. We highlight the potential of this approach to advance the field of optimization and address limitations of existing methods.

DOI: 10.5281/zenodo.22575802

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