Core Claim: Building a Quantum-Based Topological Optimization System

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper presents a novel approach to topological optimization utilizing quantum mechanics and entanglement. Traditional methods often struggle with the complexity of real-world topological systems, requiring extensive trial-and-error. We propose a quantum-driven optimization framework that leverages quantum entanglement to explore the vast solution space more efficiently and discover optimal configurations. This framework focuses on constructing a system capable of identifying and refining parameters within complex topological structures, with applications in diverse fields including materials science and biological modeling. The core mechanism involves quantum state manipulation and entanglement-induced transformations, ultimately leading to optimized topological properties. The study demonstrates the potential of this approach to overcome limitations of traditional optimization techniques.

DOI: 10.5281/zenodo.22253386

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