Core Viewpoint - Quantum computing, particularly quantum image processing, is emerging as a significant research area, with the LSQb algorithm developed by Micro Algorithm Technology enhancing efficiency and security in image information hiding and extraction [1][4]. Group 1: LSQb Algorithm Overview - The LSQb algorithm is based on the principle of minimal effective quantum bits to represent image information, facilitating secure and real-time information hiding and extraction [1][3]. - The algorithm reduces the number of quantum bits required for image representation, thereby lowering algorithm complexity and enhancing processing speed [3][4]. Group 2: Technical Advantages - The LSQb algorithm offers high security due to quantum entanglement and the no-cloning theorem, making it difficult for attackers to extract embedded information without the appropriate quantum key [4]. - The algorithm's inherent parallel processing capability allows it to handle multiple pixel quantum bits simultaneously, significantly improving the speed of information hiding and extraction, especially for large-scale image data [4][5]. - The robustness of the LSQb algorithm ensures that secret information can still be accurately extracted even when images are subjected to noise or compression [4]. Group 3: Practical Applications - The LSQb algorithm has been successfully applied in various fields, including secure communication and medical image encryption, providing reliable solutions for sensitive information exchange [5]. - The algorithm is particularly valuable in remote medical services, where patient privacy is critical, enabling secure transmission of medical images without disclosing sensitive information [5]. Group 4: Future Prospects - With ongoing advancements in quantum computing technology, the LSQb algorithm is expected to see broader applications and deeper research, benefiting from improved quantum hardware performance [5]. - The integration of the LSQb algorithm with other quantum image processing technologies is anticipated to create a more comprehensive quantum image processing system, enhancing its role in quantum communication and network security [5].