基于量子自组织的机器学习算法

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of leveraging quantum self-organization principles to develop novel machine learning algorithms. The core claim is to design a machine learning approach that benefits from quantum self-organization, aiming to enhance data analysis and model prediction efficiency. Traditional machine learning relies on classical algorithms, and this research seeks to exploit quantum self-organization for a deeper understanding of data analysis and model prediction. The study outlines a proposed algorithm and discusses its potential advantages and challenges.

DOI: 10.5281/zenodo.22322236

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