Quantum-Enhanced Data Compression for High-Dimensional Data
Jincheng Zhang
Abstract
Quantum compression, a nascent field exploring the potential of quantum mechanics to enhance data compression, has emerged as a promising avenue for addressing the growing challenge of efficient data storage and transmission, particularly with high-dimensional data. This paper investigates a novel quantum-inspired data compression algorithm, utilizing quantum superposition to represent data in a more efficient manner. We demonstrate the algorithm's ability to achieve substantial data reduction compared to existing classical methods, offering a significant improvement in compression efficiency and potentially unlocking new possibilities in data management. The core mechanism focuses on leveraging quantum phenomena to enhance data representation, leading to a more compact and effective compression process.