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Quantum Entanglement-Based Topological Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a peculiar phenomenon where two or more particles become linked in such a way that they share the same fate, has emerged as a powerful tool in quantum physics and increasingly, in various fields like optimization. This paper explores the potential of utilizing quantum entanglement to design novel topological optimization algorithms. We propose a framework that leverages the unique properties of entanglement to construct and manipulate quantum states, ultimately aiming to optimize complex systems by exploring and refining topological structures. The core claim is that by employing this approach, we can overcome limitations of existing algorithms and achieve improved performance in optimization tasks.

DOI
10.5281/zenodo.22280510

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