Adaptive Quantum Control Algorithm with Feedback Mechanism

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper presents a novel adaptive quantum control algorithm incorporating a feedback mechanism to enhance the robustness and precision of quantum system manipulation. The core claim is to design an algorithm that dynamically adjusts control signals based on real-time feedback from the quantum system's state. The proposed mechanism leverages quantum measurements and optimization algorithms to continuously refine control parameters. This approach addresses limitations inherent in traditional quantum control methods by mitigating the effects of noise and uncertainty, ultimately leading to improved control accuracy. The algorithm's architecture and theoretical framework are thoroughly outlined, demonstrating its potential for achieving highly accurate control over complex quantum systems. The implementation details and performance analysis provide a strong foundation for future research and development in adaptive quantum control.

DOI: 10.5281/zenodo.22341419

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