基于量子拓扑的自适应量子计算的拓扑结构分析
Jincheng Zhang
Abstract
This paper explores the application of quantum topology for adaptive quantum computation, proposing a novel method for structure analysis that leverages the inherent topological properties of quantum systems to optimize computation. Traditional approaches often rely on manual design, limiting flexibility and efficiency. This work introduces a framework wherein quantum topology is employed to guide the optimization of complex quantum circuits, resulting in improved computational performance. We present a preliminary algorithm demonstrating the potential of this approach, highlighting its advantages over conventional methods. The core mechanism centers on identifying and manipulating topological landscapes to enhance quantum circuit performance.