Quantum Adaptive Coding for Quantum Error Correction

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum error correction (QEC) that leverages adaptive coding based on the characteristics of quantum noise. The core claim is that dynamically adjusting the encoding scheme of a QEC code based on real-time noise assessment significantly enhances the reliability of quantum information transmission. The proposed mechanism utilizes quantum feedback control and machine learning techniques to monitor the quantum channel's noise level and subsequently adjust key parameters within the QEC code, such as the redundancy level and the encoding strategy. Traditional QEC codes typically employ fixed encoding schemes, limiting their adaptability to fluctuating noise conditions. This work addresses this limitation by introducing a self-optimizing system capable of responding to dynamic noise profiles, ultimately leading to improved error correction performance. The theoretical framework outlines a generalized adaptive QEC scheme and presents key mathematical formulations for the feedback control and machine learning processes. Further investigation into the convergence properties and performance bounds of the proposed approach is warranted.

DOI: 10.5281/zenodo.22315357

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