Quantum Geometry Information Encoding for High-Dimensional Data Compression and Analysis
Jincheng Zhang
Abstract
Quantum Geometry Information Encoding (QGIEC) is a novel approach to data compression and analysis leveraging the unique properties of quantum mechanics, specifically quantum entanglement and superposition. This paper presents a method that encodes high-dimensional data within quantum bits (qubits) using quantum entanglement and superposition, aiming to achieve significantly improved compression efficiency and enhanced data analysis capabilities compared to existing techniques. The core mechanism centers around the creation of entangled states that represent data, enabling efficient manipulation and decoding through quantum algorithms. The study demonstrates the practical feasibility of QGIEC through simulations and preliminary experiments, highlighting its potential to revolutionize data storage and processing.