Quantum Entanglement Topology Search
Jincheng Zhang
Abstract
This paper introduces a novel algorithm based on quantum entanglement to facilitate topology search. Traditional topology search methods often rely on computationally intensive methods and can struggle with complex structures. We propose a quantum-enhanced topological search algorithm leveraging entanglement to identify optimal topological structures, enabling adaptive systems and self-repair capabilities. The core mechanism involves establishing a global optimization search within a quantum-entangled environment to converge on the most stable and efficient topological configurations. This approach offers the potential for significantly enhanced computational power and adaptability in topology analysis.