Quantum State-Based Topological Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel quantum state-based topological optimization algorithm designed to address complex optimization problems, particularly those involving intricate topological structures. Traditional optimization algorithms often rely on static parameters, limiting their ability to effectively tackle these challenges. This research explores the utilization of quantum mechanics, specifically quantum state manipulation and entanglement, to achieve significantly improved optimization results compared to conventional methods. The core mechanism centers on leveraging quantum properties to facilitate computationally efficient and effective solutions to complex optimization problems. The algorithm's potential lies in its capacity to navigate and manipulate the inherent structure of the problem space, unlocking previously inaccessible optimization pathways.

DOI: 10.5281/zenodo.22294314

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