基于自适应的量子纠错算法的优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum information processing relies heavily on the robustness of quantum states. Quantum error correction is a critical component of this process, allowing us to detect and mitigate errors introduced by environmental noise. Traditional quantum error correction techniques often require significant manual tuning of parameters, a process that can be time-consuming and prone to human error. This paper proposes a novel optimization approach for quantum error correction, utilizing an adaptive quantum error correction algorithm. The core mechanism involves dynamically adjusting key parameters of the error correction process to enhance the fidelity of quantum states. This design offers a significant improvement over existing approaches through automated parameter optimization, resulting in increased error correction efficiency. The research explores the potential of this approach in practical quantum computing scenarios, demonstrating its effectiveness in mitigating errors during a simulated quantum system. We present a comprehensive analysis of the algorithm's performance, highlighting its advantages and limitations.

DOI: 10.5281/zenodo.22189543

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