Quantum Trajectory Planning Algorithm

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel quantum trajectory planning algorithm leveraging the unique properties of quantum states to enhance path exploration and optimization. Traditional path-finding algorithms rely on classical computation, but this approach utilizes quantum mechanics to achieve significantly improved efficiency in this domain. The core mechanism involves transforming path exploration into a quantum computation, and employing quantum algorithms to guide the search towards optimal paths. The paper presents a detailed explanation of the algorithm's design, its mathematical foundations, and its potential benefits for various trajectory planning scenarios.

DOI: 10.5281/zenodo.22636050

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