Dynamic Topology Mapping and Quantum Computing Synergy
Jincheng Zhang
Abstract
This paper explores the synergistic potential of dynamic topology mapping and quantum computing. We present a novel algorithm for optimizing quantum computations, leveraging dynamic topology mapping to iteratively refine quantum system parameters and structure. This approach aims to significantly enhance the efficiency and performance of quantum algorithms. The core mechanism hinges on the continuous adjustment of the system's topology during the mapping process, guided by quantum information principles. This is a departure from traditional static topology mapping techniques, offering enhanced optimization capabilities. The investigation focuses on practical implementation and preliminary results demonstrating the algorithm's effectiveness in a specific quantum system model.