Graph-Based Semantic Networks for Quantum Computing Assistance

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing holds immense promise for revolutionizing various fields, but the complexities of quantum systems necessitate sophisticated computational tools. This paper explores the application of graph-based semantic networks to enhance quantum computing simulation and optimization. We propose a novel approach wherein quantum state representations are encoded as nodes in a dynamic graph, and the relationships between these nodes are represented as edges. This graph structure facilitates efficient storage, querying, and analysis of quantum state information. The core claim is that leveraging graph-based semantic networks offers a significant improvement over traditional methods, particularly in terms of computational efficiency and data management for quantum computing processes.

DOI: 10.5281/zenodo.22199973

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