Quantum Graph-Based Machine Learning Framework

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum Graph-Based Machine Learning Framework introduces a novel approach to machine learning utilizing quantum graphs as a foundation. This framework employs automated graph generation and optimization techniques, enabling efficient execution of complex machine learning tasks. The core mechanism centers on leveraging the unique properties of quantum graphs – superposition, entanglement, and interference – to improve the performance of algorithms. This paper explores the design and implementation of this framework, detailing its architecture, functionalities, and potential applications within the field of machine learning.

DOI: 10.5281/zenodo.22297419

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