基于非线性拓扑的量子态预测算法
Jincheng Zhang
Abstract
This paper introduces a novel quantum state prediction algorithm based on non-linear topology. The algorithm leverages the inherent structure of topological spaces to accurately predict quantum state properties and achieve precise state calibration. Traditional methods often rely on classical simulations, offering limitations in precision and efficiency. This algorithm employs a topological model to capture the essential properties of quantum states, enabling a significantly improved prediction process. We present a comprehensive explanation of the core mechanism, outlining the crucial steps involved in constructing the model and utilizing its capabilities. This work demonstrates a substantial improvement in prediction accuracy compared to existing approaches, offering a promising advancement in quantum state estimation and calibration.