Full Description
This book explores the exciting field of quantum computing, which is changing how we approach computation. It covers the basics, cybersecurity aspects, advanced machine learning techniques, and the many ways quantum computing can be used. Quantum computing is much more powerful than traditional computing. The book starts by explaining the core concepts like qubits, quantum gates, superposition, entanglement, quantum memory, and quantum parallelism. One important area is how quantum computing can improve machine learning for cybersecurity. It can handle huge amounts of data and find complex patterns faster than regular computers. This is especially useful for finding cyber threats in real time, like spotting unusual activity in healthcare networks that might mean a security breach. Quantum machine learning can help healthcare organizations better defend against advanced cyberattacks that try to steal patient data. The book also looks at how quantum computing is changing cybersecurity itself.
It discusses quantum cryptography, post-quantum cryptography, and secure communication, explaining how quantum computing is leading to new ways of encrypting data, detecting threats, and protecting information. Beyond cybersecurity, the book shows how quantum computing impacts many other fields, such as medicine, finance, materials science, and logistics. It's poised to revolutionize AI in healthcare and many other sectors. Because quantum computing is constantly developing, with discoveries and applications happening all the time, this book brings together researchers from universities and industries to share their latest findings. It aims to help shape the future of this technology. It offers a solid foundation, detailed explanations of advanced techniques, and a fascinating look at how quantum computing is being used in the real world. As quantum computing becomes easier to access through new tools and cloud platforms, this book hopes to inspire new research in artificial intelligence and spark innovative applications that were previously thought impossible.
Contents
1. A Generic Deep Learning Framework for Medical Cyber-Physical Systems 2. Quantum Cryptography and Cybersecurity in Healthcare Data 3. Quantum Artificial Intelligence for Cyber Threat Mitigation 4. Advancements in Quantum Key Distribution: DPS-QKD, Superconducting Nanowires, and Secure Long-Distance Communication 5. Quantum Cryptography and Cybersecurity 6. Quantum Key Distribution (QKD) and Secure Communication in the Quantum Era 7. Quantum Cryptography and Cybersecurity: Enhancing Blockchain and IoT Security in Supply Chains 8. Quantum-Driven Creativity: Harnessing Generative AI with Quantum Computing 9. Quantum Artificial Intelligence for Cyber Threat Mitigation and Enhanced Cyber Defense 10. A Review of Quantum Machine Learning Techniques in Natural Language Processing 11. Quantum Computing: Redefining Encryption and Decryption 12. Path-Aware Neural Networks with Adaptive Topic Modeling for Sub-Event Detection in Dynamic Social Media Contexts 13. Secure Transmission of Electronic Health Records Using Quantum Safe Blockchain Network (QSBN) 14. Quantum-Enhanced Threat Detection Systems for Healthcare Infrastructure15. Quantum-Driven Innovation in 5G Communications 16. Architecting and Evaluating Quantum Algorithms for Enhancing Security in Photonic Quantum Key Distribution Protocols: A Case Study of the SARG04 Protocol and Z-Gate Optical Qubits 17. Integrating Quantum Computing with Artificial Intelligence: The Future of Technology 18. Logical Cell Units in QCA: Bridging Cryptography and High-Speed Logic Processing 19. Cyber Security Technicians for Fog and Edge Computing 20. Future Perspectives and Emerging Trends in Intelligent Mobile and IoT Ecosystems 21. Quantum Computing-Based Cybersecurity Applications: Case Studies 22. Quantum Computing and Secure Business Models 23. Integration of Innovative Business Models using Quantum Computing and Generative AI
