Title: Quantum Error Mitigation via Dynamic Bias Tuning

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum error correction (QEC) is a critical component of quantum computing, enabling reliable computation by protecting quantum information from noise. However, current QEC codes are highly sensitive to errors, necessitating sophisticated error mitigation strategies. This paper presents a novel approach to QEC, utilizing dynamic bias tuning to dynamically adjust bias parameters within quantum error correction codes. We demonstrate a significant improvement in accuracy and reduced overhead compared to static bias adjustment methods. The proposed system employs a self-tuning algorithm that analyzes the error profile and automatically adjusts bias parameters, offering a highly adaptive and effective means of mitigating errors. This work addresses a key challenge in QEC – the need for continuous optimization – and opens the door to more robust and efficient quantum computation.

DOI: 10.5281/zenodo.22272860

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