Adaptive Quantum Noise Correction Algorithm – A Dynamic Optimization Approach

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum information processing offers unprecedented capabilities, but the inherent fragility of quantum systems necessitates sophisticated error correction techniques. Traditional quantum error correction methods often rely on pre-defined error correction codes, which struggle to adapt to the dynamic nature of the quantum environment. This paper proposes a novel adaptive quantum noise correction algorithm designed to dynamically adjust error correction parameters based on environmental fluctuations. The algorithm leverages a feedback loop that continuously assesses the quantum system's state and adjusts the correction process accordingly. This approach significantly enhances the algorithm's efficiency and robustness, potentially enabling the realization of more complex and reliable quantum computations. We present a detailed analysis of the algorithm's performance, demonstrating its effectiveness in mitigating noise and achieving improved fidelity.

DOI: 10.5281/zenodo.22195153

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