Non-Linear Quantum State Dynamics and Modeling
Jincheng Zhang
Abstract
This paper introduces a novel dynamic mapping and modeling framework predicated on non-linear quantum state dynamics. We propose a method that leverages the inherent flexibility of quantum states to achieve precise modeling and simulation of complex systems. The core mechanism involves dynamically adjusting parameters to emulate system behavior, offering a significant potential for improved modeling efficiency. This approach distinguishes itself from traditional methods by automating parameter adjustments, representing a substantial advancement in computational modeling capabilities. The paper details the framework, explores its potential applications across diverse fields, and discusses the challenges and future directions for this approach.