Quantum System Self-Adaptive Noise Parameter Adjustment

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum system noise represents a significant challenge to achieving precise control and optimization in quantum computation. This paper introduces a novel self-adaptive algorithm for quantum system noise parameter adjustment, designed to dynamically adjust noise parameters based on the system's inherent dynamic behavior. The core mechanism leverages a feedback loop that continuously monitors and responds to noise fluctuations, ensuring stability and accuracy throughout the quantum process. This approach offers a significant improvement over static parameter adjustment methods, enabling more robust and adaptable control over quantum systems. The algorithm's effectiveness is demonstrated through simulations, showcasing its ability to maintain coherence and achieve targeted quantum operations with reduced sensitivity to noise fluctuations.

DOI: 10.5281/zenodo.22268481

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