Based on Quantum Entanglement for Distributed Data Compression

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed data compression leveraging the unique properties of quantum entanglement. The core idea is to utilize entangled states to enable compression and reconstruction of data without relying on classical communication channels. We introduce a distributed encoding scheme based on quantum entanglement, where multiple sensor data streams are entangled, performing compression at the encoding side. The shared entangled state then facilitates data reconstruction at the decoding side. This approach has the potential to achieve high compression ratios and efficient transmission of data over long distances, fundamentally changing the landscape of data communication. The theoretical framework is presented, outlining the key components and their mathematical relationships. The focus is on the principles and potential advantages of this method, without experimental validation.

DOI: 10.5281/zenodo.22139369

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