Quantum Entanglement Information Compression: An Adaptive Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental quantum phenomenon, offers the potential for unparalleled information compression. This paper explores the development of a novel adaptive information compression algorithm leveraging quantum entanglement to achieve higher compression rates and enhanced robustness. The algorithm dynamically adjusts compression strategies based on the intensity and temporal dynamics of entangled states. We propose a mechanism that incorporates a self-adaptive "entanglement degree adjustment" process, tailored to the specific characteristics of the input data. The core of this approach lies in the strategic application of quantum entanglement to establish a robust and efficient compression scheme. This work demonstrates the potential of this algorithm to surpass current state-of-the-art compression techniques, particularly in scenarios demanding high compression ratios and resilience to noise.

DOI: 10.5281/zenodo.22200141

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