Quantum Information Evolution Models and the Relationship to Entropy
Jincheng Zhang
Abstract
Quantum information evolution models provide a framework for understanding the dynamics of quantum systems and their relationship to information entropy. This paper explores the construction of such models, focusing on the simulation of information evolution within these models and its correlation with entropy measures. The aim is to enhance our comprehension of information transfer and efficiency within quantum computing. We propose a method for quantifying information entropy through model simulations, aiming to provide a deeper insight into the fundamental properties of quantum information. The study will detail the model's architecture, the process of entropy estimation, and the resulting insights into the interplay between quantum evolution and information entropy. The research will highlight the potential for this approach to improve the understanding of quantum information processing and contribute to more efficient quantum algorithms.