Quantum Error Correction Code Adaptive Optimization (QCEAO)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum error correction (QEC) optimization, termed Quantum Error Correction Code Adaptive Optimization (QCEAO). The core concept revolves around dynamically adjusting the parameters of QEC codes based on real-time error rate measurements during quantum computation. Traditional QEC methods often employ static code parameters, which can be suboptimal for varying error environments. QCEAO addresses this limitation by implementing a feedback loop utilizing decoding algorithms to monitor and adapt to the evolving error landscape. This adaptive strategy significantly enhances the reliability and performance of quantum computations, particularly in scenarios characterized by fluctuating error rates. The paper details the theoretical framework, the adaptive decoding algorithm, and the potential impact of QCEAO on future quantum computing architectures. The primary goal is to establish a robust and efficient QEC system capable of maintaining high fidelity in diverse quantum computing tasks.

DOI: 10.5281/zenodo.22467344

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