##拓扑结构优化基于量子态的算法
Jincheng Zhang
Abstract
This paper introduces a novel topology optimization algorithm based on quantum state properties, designed to automatically optimize complex systems. Traditional topology optimization methods often rely on classical computation, limiting their applicability to relatively simple systems. This work proposes a quantum-enhanced approach that leverages the unique characteristics of quantum states to achieve optimized results with enhanced efficiency and performance. The core mechanism involves constructing a quantum state representation of the system, implementing a quantum-based optimization process, and subsequently, extracting optimized solutions from this representation. This approach offers a potential paradigm shift in topology optimization, enabling the optimization of complex systems with unprecedented speed and accuracy. We demonstrate the effectiveness of this algorithm through simulations, showcasing its ability to produce optimal configurations across a diverse range of problem domains.