Quantum Dynamics Simulation for Adaptive Perturbation Control

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the application of quantum dynamics simulation to the design of an adaptive perturbation control strategy within the framework of quantum mechanics. The core objective is to create a system that dynamically adjusts perturbation parameters to optimize performance, offering a novel approach to stability enhancement compared to traditional methods. We present a simulation framework that leverages quantum mechanics principles to iteratively refine system parameters based on observed performance feedback. The resulting system exhibits improved stability and responsiveness, demonstrating the potential for significant performance gains in complex systems. The study emphasizes the power of quantum simulation in automating and optimizing control processes, offering a promising avenue for advancing control engineering.

DOI: 10.5281/zenodo.22293704

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