Title: Quantum-Inspired Topology for Data Compression
Jincheng Zhang
Abstract
Quantum-inspired topology offers a novel approach to data compression by harnessing the principles of quantum entanglement to generate compressed representations. This paper explores the potential of utilizing quantum states to represent data, enabling the creation of efficient data representations that retain essential information through the unique properties of quantum mechanics. This research investigates the mathematical foundations and potential applications of this technique, aiming to address limitations of existing compression methods.