Quantum Error Correction Adaptive Compression

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores a novel approach to quantum information processing combining quantum error correction (QEC) with adaptive compression techniques. Traditional QEC methods often present a trade-off between error correction capability and compression efficiency. This work proposes a framework where the parameters of the QEC code are dynamically adjusted based on feedback from the receiver, coupled with an adaptive compression algorithm. This synergistic approach aims to maximize both the fidelity of the transmitted information and the amount of data transmitted within a given constraint, ultimately leading to high-efficiency quantum information transmission and storage. The core claim is the ability to leverage both QEC's error correction capabilities and adaptive compression, while the core mechanism involves dynamic code parameter adjustment and integration with adaptive compression algorithms. This research represents a significant step towards overcoming the limitations inherent in conventional QEC strategies. ---

DOI: 10.5281/zenodo.22241990

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