Graph-Based Quantum Computing Framework

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel graph-based quantum computing framework designed for efficient parallel computation of quantum algorithms. Traditional quantum computing approaches often involve intricate algorithms, but this framework leverages the inherent properties of graphs to significantly enhance computational efficiency. The core mechanism centers on transforming quantum algorithms into graph structures, exploiting graph connectivity and node relationships to enable parallel execution. We present a method for optimizing graph representations and utilizing graph traversal techniques to achieve superior performance in various quantum computation tasks. This research aims to provide a robust and scalable solution for parallel quantum algorithm implementation.

DOI: 10.5281/zenodo.22263125

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