High-Dimensional Data Compression via Quantum Entanglement Algorithm

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel data compression algorithm based on quantum entanglement principles. Traditional data compression methods struggle to effectively handle high-dimensional data, often exhibiting limitations in compression ratio and data integrity. This algorithm leverages the unique properties of quantum entanglement to achieve significantly enhanced compression rates and data reliability. The core mechanism centers around establishing entangled states between data points and utilizing these states for efficient data representation and reconstruction. We detail the algorithm's architecture, explain the underlying quantum mechanics, and present preliminary experimental results demonstrating its superior performance compared to existing techniques. The research focuses on the core claim that this quantum entanglement-driven approach offers a pathway toward dramatically improved data compression efficiency and enhanced data integrity.

DOI: 10.5281/zenodo.22330031

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