Dynamic Quantum Entropy Compression
Jincheng Zhang
Abstract
This paper investigates the potential of dynamic quantum entropy compression as a novel approach to quantum information processing. Traditional entropy compression techniques, while valuable, often demand significant human intervention and are limited in their adaptability to complex quantum states. We propose a dynamic quantum entropy compression algorithm, designed to exploit the inherent randomness of quantum systems to achieve efficient compression. This approach aims to overcome limitations of existing methods by providing a more automated and adaptable process. The paper details the algorithm's core mechanisms, its theoretical underpinnings, and preliminary experimental results demonstrating its potential for improved compression rates compared to existing methods.