Quantum System Control: Adaptive Quantum Feedback Mechanism

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum system control is a rapidly evolving field with immense potential in diverse applications, including quantum computing, quantum sensing, and quantum communication. This paper explores the design and implementation of an adaptive quantum feedback mechanism leveraging dynamic system modeling and machine learning to enhance the stability and controllability of quantum systems. We present a novel approach that dynamically adjusts quantum control parameters based on real-time system state monitoring, offering a significant advancement over existing methods. The core of this mechanism focuses on creating a self-correcting feedback loop, enabling precise control and mitigating errors inherent in quantum systems. The paper details the mathematical framework underpinning the adaptive control, highlighting the key algorithm and its benefits. We conclude with a discussion of the potential impact of this approach on achieving higher fidelity and enhanced performance in quantum systems.

DOI: 10.5281/zenodo.22467488

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