非线性拓扑的基于量子算法的优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Nonlinear Topological Optimization via Quantum Algorithms presents a novel approach to solving complex topological optimization problems leveraging the power of quantum algorithms. Traditional optimization methods often struggle with computational complexity, particularly for intricate non-linear topological structures. This research proposes a quantum-enhanced optimization framework that transforms the problem into a quantum algorithm, enabling significantly faster and more effective search for optimal solutions. The core mechanism centers around utilizing quantum superposition and entanglement to explore the solution space more efficiently than classical methods. This work demonstrates the feasibility and potential benefits of this approach through theoretical analysis and preliminary simulations, showcasing a substantial improvement in optimization speed and solution quality compared to existing techniques.

DOI: 10.5281/zenodo.22187556

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