Quantum Topology Path Planning

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Topology Path Planning is a novel algorithmic framework that leverages the unique properties of quantum topology to optimize pathfinding for complex environments, specifically targeting robot navigation and materials science. Traditional path planning methods often rely on heuristics and are limited in their ability to handle intricate, dynamically changing geometries. This paper introduces a new approach that employs quantum-inspired algorithms to identify optimal paths, demonstrating its potential for significant advancements in these fields. The core mechanism centers around exploiting the inherent topological structure of quantum systems to guide path exploration, offering a more robust and efficient solution compared to conventional methods. We present a detailed discussion of the algorithm's design, its performance characteristics, and potential applications.

DOI: 10.5281/zenodo.22266434

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