Adaptive Topological Structure Quantum Computing Optimization Algorithm
Jincheng Zhang
Abstract
This paper presents a novel quantum computing optimization algorithm based on adaptive topological structure. The core idea is to design a quantum circuit that dynamically adapts to the problem's structure, enabling automated circuit construction and leveraging topological properties for optimization. The algorithm utilizes a self-organized topological structure to guide the optimization process, resulting in enhanced efficiency and stability compared to traditional methods. We explore the design of this adaptive topology and demonstrate its effectiveness through a series of benchmark problems. The study highlights the potential of this approach to tackle complex quantum problems and accelerate the development of quantum technology.