Adaptive Quantum System Control

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum systems exhibit inherent complexity, and traditional control methods often struggle to effectively manage these complexities. This paper introduces a novel adaptive quantum system control algorithm, designed to dynamically adjust control parameters based on the system's internal state. We present a framework that leverages the system's dynamics to optimize performance, offering a significant advancement in the precision and efficiency of quantum computation. The algorithm's core mechanism centers around a continuous feedback loop that adjusts control parameters to maintain optimal performance, mitigating the limitations of static control strategies. This research explores the potential of this approach to unlock new possibilities in quantum information processing.

DOI: 10.5281/zenodo.22265392

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