Dynamic Quantum Error Correction Encoding and Topological Information Mapping

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper presents a novel dynamic quantum error correction (QEC) scheme leveraging the principles of topological quantum systems. The core idea is to dynamically adapt the error correction strategy based on real-time analysis of the noise environment, eliminating the need for pre-encoded classical information. The scheme encodes error correction information into topological defects within topologically protected states, utilizing the inherent stability of these defects for robust error protection. Furthermore, a machine learning algorithm is integrated to continuously monitor the noise characteristics and optimize the correction parameters. The resulting approach offers enhanced correction efficiency compared to traditional static QEC methods, particularly in environments with evolving noise profiles. The primary theoretical contribution lies in decoupling the reliance on pre-encoded topological states for correction, paving the way for more adaptable and efficient quantum error correction. The proposed methodology aims to address a key limitation in current topological quantum computing architectures.

DOI: 10.5281/zenodo.22243908

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