Adaptive Quantum Control Theory

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces Adaptive Quantum Control Theory (AQCT), a novel framework designed to address the challenges inherent in controlling quantum systems. Traditional quantum control methods often rely on precise, pre-determined control signals, which can be highly sensitive to system imperfections and environmental noise. AQCT leverages the principles of reinforcement learning and quantum control theory to create a controller capable of dynamically adapting its control strategy based on the real-time state of the quantum system. The core mechanism involves designing a controller that learns and optimizes control policies through iterative interaction with the system, effectively mitigating the impact of uncertainties. This approach promises improved control performance, robustness, and scalability for a wide range of quantum systems. The theoretical framework presented here lays a foundation for future research and development in adaptive quantum control.

DOI: 10.5281/zenodo.22194514

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