自适应几何的量子态的计算
Jincheng Zhang
Abstract
This paper explores the potential of utilizing dynamic adaptive mechanisms to enhance the calculation of quantum states. Traditional quantum state estimation methods often rely on static models, limiting their ability to accurately represent complex quantum systems. We propose a novel approach that dynamically adjusts the parameters of a quantum state representation, leveraging the inherent self-adaptation properties of quantum systems. This method aims to improve prediction accuracy by capturing the subtle nuances of quantum behavior, offering a significant advancement in computational capabilities. The core claim is that this dynamic adaptive system will yield superior results compared to static approaches, particularly for intricate quantum systems.