Quantum Information Graphs: Adaptive Topological Analysis

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum information graphs (QIGs) represent a novel framework for modeling and analyzing complex quantum systems. This paper proposes a novel self-adaptive topological analysis method leveraging quantum entanglement and quantum hidden computation. The core mechanism involves simulating QIGs with quantum entanglement and utilizing quantum computation to efficiently characterize topological properties. The research presents a new approach to topology analysis, offering significant improvements in efficiency compared to traditional methods. This work contributes to the advancement of quantum information processing and explores the potential of QIGs for complex problem-solving.

DOI: 10.5281/zenodo.22225144

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