Quantum Topology Optimization Algorithm for Adaptive Topology Structure
Jincheng Zhang
Abstract
Quantum topology offers a novel approach to optimization by leveraging quantum entanglement and self-organization. This paper proposes a quantum topology optimization algorithm designed to dynamically adjust complex system topologies, enhancing system performance. We introduce a mechanism utilizing quantum entanglement to promote a self-organizing network structure, employing quantum algorithms to optimize the network's evolution. Traditional optimization methods often struggle to capture the non-linear behavior of complex systems, presenting a significant advantage with quantum topology's inherent adaptability. This algorithm aims to overcome these limitations by providing a framework for automated topology restructuring.