Quantum Algorithm Based on Information Entropy

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm, Quantum Algorithm Based on Information Entropy, designed to efficiently determine data distribution characteristics and optimize machine learning models. The algorithm leverages quantum entanglement and measurement to rapidly assess data distribution features, utilizing information entropy for computation and offering a new measurement method. Traditional computational approaches often exhibit linear complexity, presenting a significant advantage for complex data analysis. This research explores the potential of quantum mechanics to accelerate key computational tasks within machine learning and data science.

DOI: 10.5281/zenodo.22187755

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