Dynamic Information Entropy Quantum Computing Implementation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel quantum computing algorithm based on dynamic information entropy, designed for large-scale data analysis and pattern recognition. The core mechanism involves introducing a dynamic information entropy quantum computation model utilizing quantum gates to achieve efficient and scalable quantum data processing. Traditional quantum algorithms often rely on fixed parameters, offering limited scalability. This approach leverages the inherent dynamic nature of information entropy to significantly enhance the algorithm's potential. We discuss the design of this algorithm, outlining its core components, the underlying mathematical principles, and potential applications within data analysis and pattern recognition.

DOI: 10.5281/zenodo.22611174

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