Applications and Principles of Quantum Computing

✍ Scribed by Khang Alex

• Publisher: Engineering Science Reference
• Year: 2024
• Tongue: English
• Leaves: 510
• Category: Library

✦ Synopsis

In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.

✦ Table of Contents

Cover
Title Page
Copyright Page
Book Series
Mission
Coverage
Preface
Acknowledgment
Chapter 1: Quantum Mechanics Primer
ABSTRACT
1. INTRODUCTION
2. HISTORICAL DEVELOPMENT OF QUANTUM MECHANICS
3. DISCUSS THE CONCEPT OF QUANTUM MEASUREMENT AND ITS PROBABILISTIC NATURE
4. ROLE OF WAVEFUNCTIONS AND PROBABILITY AMPLITUDES IN QUANTUM MECHANICS
5. DISCUSS THE DIFFERENCE BETWEEN CLASSICAL AND QUANTUM COMPUTATION
6. QUANTUM COMPUTING BASICS
7. QUANTUM ALGORITHMS AND APPLICATIONS
8. EXPLORE SPECIFIC QUANTUM ALGORITHMS USED FOR OPTIMIZATION, SIMULATION, MACHINE LEARNING, AND OTHER FIELDS
9. QUANTUM COMPUTING TECHNOLOGIES AND CHALLENGES
10. CONCLUSION
REFERENCES
Chapter 2: Introduction to Quantum Computing and Its Integration Applications
ABSTRACT
1. INTRODUCTION
2. ENERGY– JUST ENERGY
3. QUANTUM PHYSICS: FUNDAMENTAL, AND A SEPARATE CONCEPT FROM CLASSICAL PHYSICS
4. FROM QUANTUM MECHANICS TO QUANTUM COMPUTING: ABOUT THE MODERN/NEXT-GENERATION COMPUTER – QUANTUM COMPUTER
5. CONCLUSION
REFERENCES
ENDNOTES
Chapter 3: Role of Quantum Computing in the Era of Artificial Intelligence (AI)
ABSTRACT
1. INTRODUCTION
2. FUNDAMENTALS OF QUANTUM COMPUTING
3. QUANTUM ALGORITHMS AND APPLICATIONS
4. ENHANCING MACHINE LEARNING WITH QUANTUM
5. QUANTUM NEURAL NETWORKS
6. REAL-WORLD QUANTUM ADVANTAGE DEMONSTRATIONS
7. ENGINEERING CHALLENGES IN SCALING UP QUANTUM SYSTEMS
8. RESPONSIBLE DEVELOPMENT OF QUANTUM COMPUTING
9. CASE STUDIES
10. OUTLOOK ON QUANTUM COMPUTING AND AI
11. CONCLUSION
REFERENCES
Chapter 4: The Impact of Quantum Computing on Artificial Intelligence
ABSTRACT
1. INTRODUCTION
2. REVIEW OF LITERATURE
3. THE FUTURE IMPLICATIONS OF QUANTUM COMPUTING ON ARTIFICIAL INTELLIGENCE
4. INTRODUCTION TO THE FUNDAMENTALS OF QUANTUM COMPUTING
5. THE TASK AT HAND INVOLVES THE DEVELOPMENT OF MORE ACCURATE AND REFINED MODELS
6. THE IMPACT OF ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING
7. THE ADVANTAGES OF QUANTUM COMPUTING IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE
8. THE LIMITATIONS OF QUANTUM COMPUTING IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE
9. THE ANTICIPATED IMPACT OF QUANTUM COMPUTERS IN THE COMMERCIAL SECTOR
10. CONCLUSION
REFERENCES
Chapter 5: Quantum Computing Principles
ABSTRACT
1. INTRODUCTION
2. GLIMPSE: HISTORY OF QUANTUM COMPUTING
3. QUANTUM MECHANICS
4. DIFFERENT TYPES OF QUANTUM COMPUTERS
5. QUANTUM BITS (QUBITS)
6. QUANTUM ALGORITHMS
7. QUANTUM GATES
8. QUANTUM ERROR CORRECTION
9. QUANTUM APPLICATIONS
10. CHALLENGES OF QUANTUM COMPUTING
11. THE FUTURE OF QUANTUM COMPUTING
12. CONCLUSION
REFERENCES
Chapter 6: Quantum Computing
ABSTRACT
1. INTRODUCTION
2. FUNDAMENTALS AND CONCEPTS OF QUANTUM COMPUTING
3. PRINCIPLES OF QUANTUM COMPUTING
4. TECHNOLOGIES FOR QUANTUM COMPUTING
5. ARCHITECTURE FOR QUANTUM COMPUTING
6. APPLICATIONS OF QUANTUM COMPUTING
7. CHALLENGES AND CONSTRAINTS OF QUANTUM COMPUTING
8. FUTURE TRENDS AND DIRECTIONS FOR QUANTUM COMPUTING
9. CONCLUSION
REFERENCES
Chapter 7: Quantum Computing AI
ABSTRACT
1. INTRODUCTION
2. ARTIFICIAL INTELLIGENCE FOR QUANTUM DATA PROCESSING
3. THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) FOR QUANTUM SAFE CRYPTOGRAPHY
4. ARTIFICIAL INTELLIGENCE IMPACT ON QUANTUM MACHINE LEARNING (QML)
5. CONCLUSION
REFERENCES
Chapter 8: Quantum Machine Learning
ABSTRACT
1. INTRODUCTION
2. CONTRASTING CLASSICAL MACHINE LEARNING WITH QUANTUM MACHINE LEARNING: UNDERSTANDING THE FUNDAMENTAL DIFFERENCES
3. QUANTUM POWER HARNESSED FOR ADVANCED MACHINE LEARNING
4. COMBINING MACHINE LEARNING AND QUANTUM COMPUTING TO UNLEASH THE QUANTUM ADVANTAGE IN AI
5. INVESTIGATING THE RELATIONSHIP BETWEEN QUANTUM COMPUTING AND AI
6. ATOMIC ALGORITHMS MACHINE LEARNING REVOLUTION: FROM THEORY TO PRACTICE
7. A QUANTUM LEAP FOR SMARTER AI SYSTEMS: QUANTUM MACHINE LEARNING
8. AI QUANTUM OPTIMIZATION: THE FUTURE OF MACHINE LEARNING
9. ENHANCED QUANTUM LEARNING DEFINING NEW AI BOUNDARIES
10. UNRAVEL NEW DIMENSIONS OF INTELLIGENCE WITH QUANTUM-ASSISTED MACHINE LEARNING
11. UNLOCKING UNPRECEDENTED INSIGHTS AND CAPABILITIES WITH QUANTUM ALGORITHMS FOR AI
12. ALGORITHMS FOR QUANTUM MACHINE LEARNING: LAYING THE FOUNDATION FOR THE QUANTUM AI REVOLUTION
13. CONCLUSION
REFERENCES
Chapter 9: Quantum Computing AI
ABSTRACT
1. INTRODUCTION
2. MACHINE LEARNING
3. QUANTUM COMPUTING BASIC BUILDING BLOCKS
4. AI AND QUANTUM COMPUTING APPLICATIONS
5. RELATED WORK
6. QUANTUM ARTIFICIAL INTELLIGENCE AND QUANTUM MACHINE LEARNING
7. QUANTUM FUTURE OF AI
8. CONCLUSION
REFERENCES
Chapter 10: Quantum Computing Smart City
ABSTRACT
1. INTRODUCTION
3. FOSTERING SUSTAINABILITY WITH SMART CITY
4. PROBLEM STATEMENT
5. ENABLING TECHNOLOGIES OF SMART CITY
6. SMART CITIES IN INDIA
7. REQUIREMENTS OF SMART SYSTEM
8. SMART CITY INFRASTRUCTURE
9. BENEFITS OF INSTALLING SMART AND GREEN INFRASTRUCTURE
10. INTEGRATION OF SMART AND GREEN INFRASTRUCTURE APPLICATIONS
11. SMART TRANSPORTATION
12. WIRELESS SENSOR NETWORKS IN AUTOMATED REAL-TIME INTELLIGENT TRAFFIC CONTROL SYSTEM FOR SMART CITIES
13. SMART ENERGY
14. SMART HEALTH
15. ADVANCED MEDICAL SERVICES
16. IOT IN SMART CITY
17. A DYNAMIC ROAD TRANSPORT SYSTEM SAFETY ASSESSMENT IOT ARCHITECTURE
18. BLOCKCHAIN TECHNOLOGY IN SMART CITY
19. IOT, BLOCKCHAIN, AND 6G HISTORY FOR SMART CITIES
20. IOT-ENVISIONED SMART CITY SECURITY CHALLENGES
21. AN IOT-ENVISIONED INTELLIGENT TRANSPORTATION SYSTEM BUILT ON A BLOCKCHAIN
22. CONNECTION BETWEEN SMART CITIES AND QUANTUM COMPUTING
23. CONCLUSION
REFERENCES
Chapter 11: Quantum Leap in Healthcare
ABSTRACT
1. INTRODUCTION
2. BACKGROUND
2. Application of AI in Medical Imaging
3. DIAGNOSTIC SYSTEMS EMPOWERED BY ARTIFICIAL INTELLIGENCE
4. SURGERY AIDED BY ARTIFICIAL INTELLIGENCE AND ROBOTICS
5. AI-POWERED EXPLORATION OF PHARMACEUTICALS AND TAILORED MEDICAL CARE
6. ETHICAL REFLECTIONS AND HURDLES
7. EMERGING AVENUES AND FINAL THOUGHTS
8. CONCLUSION
REFERENCES
APPENDICES
Chapter 12: Quantum Computing Research
ABSTRACT
1. INTRODUCTION
2. CONTEMPORARY RESEARCH IN QUANTUM COMPUTING
3. FOUNDATION OF QUANTUM COMPUTING
4. SURGERY AIDED BY ARTIFICIAL INTELLIGENCE AND ROBOTICS
5. QUANTUM COMPUTATIONAL JOURNEY
6. IMPACT OF QUANTUM COMPUTING
7. QUANTUM COMPUTING ALGORITHMS
8. TOOLS FOR QUANTUM COMPUTING
9. GLOBAL SCENARIO IN QUANTUM COMPUTING
10. APPLICATIONS OF QUANTUM COMPUTING
11. CONCLUSION
REFERENCES
Chapter 13: Quantum Computing Smart Grids
ABSTRACT
1. INTRODUCTION
2. LITERATURE SURVEY ON IOT BASED SYSTEMS IN SMART GRID
3. IOT AND SMART GRID IN TODAY’S WORLD
4. REQUIREMENTS FOR THE PRESENT ENERGY SCENARIO
5. SMART GRID ARCHITECTURE WITH IOT SUPPORT
6. INTEGRATION OF THE SMART GRID BASED ON COMMUNICATION TECHNOLOGY WITH THE IOT
7. CONCLUSION
8. FUTURE SCOPE OF RESEARCH IN IOT
REFERENCES
Chapter 14: Quantum Computing in Pharmaceutical Science
ABSTRACT
1. INTRODUCTION
2. FUNDAMENTALS OF QUANTUM COMPUTING
3. QUANTUM ALGORITHMS RELEVANT TO PHARMACEUTICAL SCIENCES
4. QUANTUM-ENHANCED MOLECULE MODELING
5. CHALLENGES AND LIMITATIONS
6. FUTURE PERSPECTIVES
7. CONCLUSION
8. ABBREVIATIONS
9. ACKNOWLEDGMENT
REFERENCES
Chapter 15: Quantum Computing in Healthcare
ABSTRACT
1. INTRODUCTION
2. APPLICATIONS
3. LITERATURE REVIEW
4. FUTURE DIRECTIONS
9. CONCLUSION
REFERENCES
Chapter 16: Quantum Computing in FinTech
ABSTRACT
1. INTRODUCTION
2. FRONTIERS’ ORIGINS AND CONNECTIONS WITH FINTECH
3. QUANTUM COMPUTING APPLICATION IN FINTECH
4. MISCELLANEOUS FURTHER FINTECH APPLICATIONS
5. SWOT ANALYSIS
6. CONCLUSION
REFERENCES
Chapter 17: Quantum Internet of Things
ABSTRACT
1. INTRODUCTION
2. FUNDAMENTALS OF QUANTUM COMPUTING
3. QUANTUM CONNECTIVITY IN IOT
4. QUANTUM SECURITY FOR IOT
5. QUANTUM EFFICIENCY IN DATA PROCESSING
6. INDUSTRY APPLICATIONS OF QUANTUM IOT
7. CHALLENGES OF QUANTUM IOT
8. FUTURE DIRECTIONS OF QUANTUM IOT
9. CONCLUSION
REFERENCES
Chapter 18: Quantum-Inspired Optimization for Enterprises
ABSTRACT
1. INTRODUCTION
2. QUANTUM MECHANICS PRIMER
3. THE QUANTUM-INSPIRED ADVANTAGE
4. CHALLENGES AND CONSIDERATIONS
5. QUANTUM ALGORITHMS FOR OPTIMIZATION
6. NEED AND CHALLENGES
7. CONCLUSION
REFERENCES
Chapter 19: Quantum Cryptography
ABSTRACT
1. INTRODUCTION
2. CLASSICAL CRYPTOGRAPHY
3. POST QUANTUM CRYPTOGRAPHY
4. POST QUANTUM CRYPTOGRAPHY AND KEY ESTABLISHMENT MECHANISM
5. LATTICE BASED POST QUANTUM CRYPTOSYSTEMS
6. CONCLUSION
REFERENCES
Chapter 20: Quantum Computing Security
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. QUANTUM COMPUTING: AN OVERVIEW
4. VULNERABILITIES OF CLASSICAL CRYPTOGRAPHY TO QUANTUM ATTACKS
5. POST-QUANTUM CRYPTOGRAPHY
6. QUANTUM KEY DISTRIBUTION (QKD)
7. QUANTUM-RESISTANT ALGORITHMS
8. SECURE MULTIPARTY COMPUTATION (SMC) WITH QUANTUM COMPUTING
9. CURRENT STATE OF RESEARCH AND INDUSTRY INITIATIVES
10. CHALLENGES AND FUTURE DIRECTIONS
11. CONCLUSION
REFERENCES
Chapter 21: The Convergence of Quantum Computing and Blockchain
ABSTRACT
1. INTRODUCTION
2. BACKGROUND
3. THE INTERSECTION OF BLOCKCHAIN AND QUANTUM COMPUTING
4. PROTECTIVE MEASURES AND STRATEGIES
5. CONCLUSION
REFERENCES
Compilation of References
About the Contributors