基于量子纠错的非线性数据压缩算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel data compression algorithm based on quantum error correction. Traditional data compression methods often struggle with complex data due to inherent limitations in their computational capacity. This research proposes a quantum-enhanced data compression technique leveraging the unique properties of quantum error correction, aiming to significantly improve compression efficiency and robustness. The core mechanism involves a quantum-induced data transformation that exploits the inherent error-correction capabilities of quantum systems. We detail the algorithm's design, implementation, and performance evaluation, showcasing its potential for enhancing data storage and transmission. This work establishes a foundation for future research into quantum data compression, potentially revolutionizing data management practices.

DOI: 10.5281/zenodo.22192857

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