Quantum Entanglement-Driven Distributed Compression (QEDC)

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed compression, termed Quantum Entanglement-Driven Distributed Compression (QEDC), leveraging the unique properties of quantum entanglement to surpass the theoretical limits of conventional compression algorithms. The core concept involves establishing entangled states between multiple nodes and exploiting their correlated measurements for data redundancy reduction. We detail the theoretical framework, focusing on the efficiency gains achieved through entanglement-based encoding and correction. Unlike traditional distributed compression methods reliant on classical communication, QEDC offers the potential for significantly higher compression ratios and enhanced security. The presented model employs quantum key distribution protocols to maximize data transmission efficiency. Mathematical formulations are provided to illustrate the key processes involved, including entanglement generation, measurement protocols, and error correction strategies. The architecture presented here represents a significant step toward realizing truly lossless data transmission over long distances, underpinned by the fundamental principles of quantum mechanics. Further research will focus on practical implementation challenges and exploring the scalability of this technology.

DOI: 10.5281/zenodo.22636769

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