基于自适应的量子态的模拟与控制

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum state simulation and control leveraging adaptive parameter adjustment. Traditional quantum simulation methods often rely on fixed parameters, limiting accuracy. We introduce a dynamically adjusted parameter strategy to refine the simulation and control processes, ultimately increasing the precision of quantum computations. The core mechanism involves an adaptive algorithm that continuously monitors and adjusts parameters to optimize the simulation's fidelity. This approach offers a significant improvement over static parameter settings, leading to enhanced quantum information processing. The theoretical and experimental results demonstrate the effectiveness of this method in simulating complex quantum systems, showcasing a notable increase in precision.

DOI: 10.5281/zenodo.22198160

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