基于量子纠缠的拓扑网络构建
Jincheng Zhang
Abstract
This paper explores the potential of leveraging quantum entanglement to construct and analyze topological networks, offering a novel approach to simulating and optimizing the behavior of complex topological systems. We propose a framework where entanglement is utilized to model the network's structure, providing a means to refine the network's parameters and improve the accuracy of simulations. The core mechanism involves utilizing entanglement to represent the network's topology, guiding optimization towards robust and well-defined topological states. This work addresses a significant gap in current research by integrating a quantum-inspired approach to topology, with implications for the simulation and analysis of highly complex systems.