Adaptive Quantum State Control

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the development of an adaptive quantum state control algorithm designed to dynamically adjust quantum states in response to environmental changes. The core concept revolves around leveraging quantum state's inherent adaptability to achieve more precise quantum operations and computation. We propose a novel algorithm that employs a feedback loop to continuously refine the quantum state, effectively mitigating the effects of decoherence and enhancing the fidelity of quantum states. The algorithm's mechanism centers on a controlled evolution process, driven by an environment-aware feedback mechanism, allowing for precise manipulation and error correction. This research explores the potential of this approach to overcome limitations of traditional quantum control techniques, particularly in complex environments. The paper details the algorithm's architecture, demonstrates its performance through simulations and preliminary experiments, and concludes with a discussion of future research directions.

DOI: 10.5281/zenodo.22198321

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