Quantum Computing
The Future of Information Processing
- 376 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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
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.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Preface
- List of Contributors
- Chapter 1 Quantum Computing: Evolution, Recent Advancements, Future Opportunities, and Challenges for Future Generations
- Chapter 2 Application of Qubits in Artificial Intelligence and Machine Learning
- Chapter 3 Quantum Computing Applications
- Chapter 4 Qubit-Based Applications for Next Generation Society
- Chapter 5 Quantum Computing: Necessary Applications for Future
- Chapter 6 Securing IoT: Advanced Algorithmic Approaches for Malware Detection
- Chapter 7 Advancing Drug Discovery with Quantum Machine Learning
- Chapter 8 Quantum Neural Networks: An Overview
- Chapter 9 Exploring the Intersection of Quantum Neural Networks and Classical Neural Networks for Early Cancer Identification
- Chapter 10 Cybersecurity Forensics with AI: A Comprehensive Review
- Chapter 11 Remote Sensing Imagery Classification Techniques Using Quantum Deep Learning
- Chapter 12 Mutation-Based Quantum Particle Swarm Optimisation: A Novel Approach to Global Optimisation
- Chapter 13 Decentralizing Trust: Innovating Social Media with Blockchain for Enhanced Authenticity and Fake News Mitigation
- Chapter 14 Quantum Computing Integration: Cutting-Edge and Quantum Computing for Building a Smart and Sustainable Environment
- Chapter 15 Quantum Computing for Next-Generation Artificial Intelligence–Based Blockchain
- Chapter 16 Securing Patient Data in Healthcare with Quantum Cryptography in the Quantum Era
- Chapter 17 An Analysis of Security Threats in Quantum Computing Information Processing
- Chapter 18 Fortifying Cyber Defenses with IDPS Implementation and Management Best Practices
- Chapter 19 Data Encryption in 6G Networks: A Zero-Knowledge Proof Model
- Index