基于图的量子态分析与计算
Jincheng Zhang
Abstract
This paper introduces a novel quantum state analysis and computation framework based on graph representation, enabling efficient search, computation, and simulation of quantum states. Traditional approaches often rely on classical computation, while our framework leverages the inherent structure of graphs to enhance quantum state analysis. We propose a method for mapping quantum states to graphs, utilizing graph embedding techniques to facilitate efficient search and computation. The core mechanism involves representing quantum states as graphs, employing graph embedding to improve search performance and introduce a novel "graph embedding" process. This offers a significant advancement in the field, potentially leading to more efficient and scalable quantum algorithm development. The framework demonstrates promising results through the application of quantum state analysis to a simplified quantum system, showcasing the benefits of this approach.