基于自适应的量子纠缠数据压缩

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental quantum phenomenon, offers the potential for unparalleled data compression. However, harnessing this potential requires sophisticated techniques to manage the delicate quantum states involved. This paper introduces a novel data compression algorithm based on adaptive quantum entanglement management, aiming to significantly enhance compression efficiency compared to existing approaches. The core mechanism centers around dynamically adjusting key entanglement parameters during the compression process. We demonstrate the effectiveness of this approach through a series of simulations and experiments, showcasing a substantial improvement in data compression ratios. The algorithm leverages the inherent properties of entanglement to optimize data representation and minimize redundancy, offering a promising path towards practical quantum data storage and transmission.

DOI: 10.5281/zenodo.22264472

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