Quantum Computing: The Future of Information ProcessingКНИГИ » ПРОГРАММИНГ
Название: Quantum Computing: The Future of Information Processing Автор: Shrikant Tiwari, Amit Kumar Tyagi, S.V. Nagaraj Издательство: CRC Press Год: 2025 Страниц: 348 Язык: английский Формат: pdf (true), epub Размер: 18.0 MB
Quantum Computing and algorithms are set to revolutionize information processing. Covering such topics, Quantum Computing: The Future of Information Processing explains its principles, practical applications, and future implications in a clear and accessible manner. The book strives to simplify the essential concepts and practical applications of Quantum Computing. Its aim is to help students and researchers to apply Quantum Computing to advance AI and Machine Learning, cybersecurity, and blockchain. With its emphasis on practical applications, the book covers how Quantum Computing is changing such fields as:
Finance Medicine Built environment Networking and communications
This book will discuss quantum computing and its related terms in detail. This book will take future readers/researchers on a journey from the fundamental principles of quantum mechanics to the practical applications reshaping industries like blockchain, cybersecurity, Machine Learning, and finance as well as real-world case studies to provide a unique addition on the technology’s impact today. Hence, this book will present a clear roadmap for practical implementation, guiding readers through the complex process of integrating quantum computing into their real-world applications.
Quantum Machine Learning (QML): Quantum computing could accelerate Machine Learning tasks on the blockchain, leading to smarter and more efficient AI models. Quantum Machine Learning algorithms may enable faster model training, improved predictive analytics, and enhanced data analysis on blockchain-based AI systems. Algorithms for Quantum Machine Learning might speed up model training, optimize predictive analytics, and improve data processing, benefiting AI-based blockchain applications.
With extensive real-world case studies and practical implementation guidance, the book is a guide for those seeking to understand how Quantum Computing is applied in various industries. Its in-depth exploration of Quantum Computing covers both foundational principles and advanced applications in a single resource, saving readers the need to purchase multiple books. Finally, the book focuses on the future of information processing so that students and researchers can anticipate and prepare for the transformative impact of Quantum Computing.
1. Quantum Computing: Evolution, Recent Advancements, Future Opportunities, and Challenges for Future Generations 2. Application of Qubits in Artificial Intelligence and Machine Learning 3. Quantum Computing Applications 4. Qubit-Based Applications for Next Generation Society 5. Quantum Computing: Necessary Applications for the Future 6. Securing IoT: Advanced Algorithmic Approaches for Malware Detection 7. Advancing Drug Discovery with Quantum Machine Learning 8. Quantum Neural Networks: An Overview 9. Exploring the Intersection of Quantum Neural Networks and Classical Neural Networks for Early Cancer Identification 10. Cybersecurity Forensics with AI: A Comprehensive Review 11. Remote Sensing Imagery Classification Techniques Using Quantum Deep Learning 12. Mutation-Based Quantum Particle Swarm Optimization (MQPSO): A Novel Approach to Global Optimisation 13. Decentralizing Trust: Innovating Social Media with Blockchain for Enhanced Authenticity and Fake News Mitigation 14. Quantum Computing Integration: Cutting-Edge and Quantum Computing for Building a Smart and Sustainable Environment 15. Quantum Computing for Next-Generation Artificial Intelligence-Based Blockchain 16. Securing Patient Data in Healthcare with Quantum Cryptography in the Quantum Era 17. An Analysis of Security Threats in Quantum Computing Information Processing 18. Fortifying Cyber Defenses with IDPS Implementation and Management Best Practices 19. Data Encryption in 6G Networks: A Zero Knowledge Proof Model
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