基于图的量子计算范式 (QCV)
Jincheng Zhang
Abstract
This paper introduces a novel quantum computing paradigm, termed "Graph-Based Quantum Computing (QCV)," which fundamentally reimagines the process of quantum computation by modeling it as a graph. We propose a method for efficiently implementing quantum algorithms through the exploitation of graph topology, specifically leveraging concepts like graph traversal and connectivity. The core mechanism of QCV centers around constructing and analyzing quantum circuits as graphs, enabling a more structured and intuitive approach to algorithm design and optimization. This research explores the potential of QCV to surpass traditional quantum computing methods in terms of algorithmic efficiency and robustness. We present a preliminary analysis demonstrating the efficacy of QCV in certain specific quantum algorithms, highlighting the advantages of this approach.