Quantum Entanglement Data Compression Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel data compression algorithm based on quantum entanglement, aiming to achieve superior compression efficiency compared to traditional methods. The core principle leverages the unique properties of quantum entanglement to achieve information redundancy and reduction, minimizing storage and transmission loss. We explore a mechanism that exploits the correlations inherent in entangled states to represent data more compactly. The algorithm's efficacy is demonstrated through theoretical analysis and preliminary experimental results.

DOI: 10.5281/zenodo.22264415

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