基于自适应量子拓扑的拓扑信息压缩
Jincheng Zhang
Abstract
This paper investigates the potential of utilizing quantum topology for efficient data compression, specifically focusing on the design and implementation of a novel algorithm. The core concept revolves around leveraging the unique properties of quantum topology to compress data, resulting in reduced storage and transmission requirements. We explore the theoretical foundations and practical considerations of this approach, highlighting its potential to revolutionize data handling within the quantum information landscape. The research aims to demonstrate the efficacy of this methodology through a detailed analysis and simulation, emphasizing the benefits of this approach compared to traditional compression techniques.