Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Editors
Contributors
Chapter 1 Quantum Information Processes: Role of Quantum Logic Gates
	1.1 Introduction
	1.2 Literature Survey
	1.3 Quantum Bits and Quantum Entanglement
	1.4 Quantum Computation: Quantum Logic Gates
		1.4.1 Single-Qubit Gates
		1.4.2 Multi-qubit Quantum Gates
	1.5 Quantum Information Processes and Algorithms
	1.6 Quantum Computation in Satellite Communications
		1.6.1 Working of a Typical Quantum-based Satellite System
	1.7 Conclusions and Future Scope
	References
Chapter 2 A Brief Study on Quantum Walks and Quantum Mechanics
	2.1 Quantum
	2.2 Computing
	2.3 Random Walks
	2.4 The Quantum Walk
		2.4.1 The Discrete Model
		2.4.2 Continuous-time Quantum Random Walk
	2.5 Quantum Walk Principle
	2.6 The Quantum Random Walk Search
	2.7 Random Walk in Computer Science
	2.8 Quantum Computing with Quantum Walks and Related Models
	2.9 Hybrid Classical-Quantum Algorithms
	2.10 Quantum Mechanics
	2.11 Relationships between Quantum Walk and Quantum Mechanics
		2.11.1 Superposition
		2.11.2 Entanglement
	2.12 Quantum Computers and Circuits
		2.12.1 Qubits
		2.12.2 Gates
	2.13 Drone-based Quantum Computing
	2.14 Quantum Satellites Aimed at Drone-Based Network as well as Communications
	2.15 Conclusions
	References
Chapter 3 A Keen Study on Quantum Information Systems
	3.1 Introduction
		3.1.1 Terminology in Quantum Computation
	3.2 Quantum Information Processing
	3.3 Quantum Information Systems
		3.3.1 Quantum Entropy
		3.3.2 Quantum Relative and Conditional Entropies
	3.4 Trends in Quantum Information Systems
		3.4.1 Quantum Cryptography
		3.4.2 Quantum Retrodiction
		3.4.3 Quantum Key Distribution
			3.4.3.1 Applications of Quantum Information Systems
		3.4.4 Artificial Intelligence & Machine Learning
		3.4.5 Cybersecurity & Cryptography
	3.5 Conclusion
	References
Chapter 4 Prologue to Quantum Computing and Blockchain Technology
	4.1 Introduction to Quantum Computing and Blockchain Technology
		4.1.1 Quantum Computing
		4.1.2 BC Technology
	4.2 How Does Quantum Computer Work?
		4.2.1 The Architecture of Quantum Computers
		4.2.2 Working of Blockchain
	4.3 Application Areas of Quantum Computing and BC
		4.3.1 Quantum Computing
		4.3.2 BC
			4.3.2.1 Commercial Applications
			4.3.2.2 Non-commercial Applications
		4.3.3 Challenges of BC
		4.3.4 Importance of Quantum Computing Blockchain for Quantum Satellites and Drones
	4.4 Conclusion
	References
Chapter 5 Quantum Computing Application for Satellites and Satellite Image Processing
	5.1 Introduction
	5.2 Satellites
	5.3 Quantum Technologies
		5.3.1 Slow Process of Integration and Testing Satellite Systems
		5.3.2 Low Life Span of Satellite Systems
		5.3.3 Redundancy in Collected Data by Remote-Sensing Satellites
		5.3.4 Data Security—Quantum Key Distribution
	5.4 Quantum Computing for Satellite Image Processing
		5.4.1 Satellite Image Pre-processing
		5.4.2 Post-processing of Satellite Image
		5.4.3 Quantum Machine Learning
	5.5 Conclusion and Future Scope
	References
Chapter 6 Evolution of Deep Quantum Learning Models Based on Comprehensive Survey on Effective Malware Identification and Analysis
	6.1 Introduction
		6.1.1 Classical Machine Learning
		6.1.2 Comparison between Machine Learning and Deep Learning
		6.1.3 Rise of Quantum Computing in Machine Learning
		6.1.4 Evaluation Metrics
	6.2 Malware Detection and Analysis ( MDA)
	6.3 Malware Detection—A View
		6.3.1 Signature-Based Detection
		6.3.2 Heuristic-based Detection
		6.3.3 Specicatfiion-Based Detection
	6.4 Malware Analysis—A View
		6.4.1 Malware Analysis Process
		6.4.2 Malware Analysis Approach Using Machine Learning/ Deep Learning Models
	6.5 Discussion
	6.6 Conclusion
	References
Chapter 7 Healthcare System 4.0 Driven by Quantum Computing and Its Use Cases: A COVID-19 Perspective
	7.1 Introduction
	7.2 Literature Review
		7.2.1 Preliminaries
			7.2.1.1 Quantum Computing Insights
			7.2.1.2 Challenges Associated with Quantum Computing
			7.2.1.3 India’s Effort and Initiative
			7.2.1.4 Advancement of Quantum Computing in India
		7.2.2 Healthcare System 4.0
		7.2.3 Application of Quantum Technologies and Computation in Healthcare System
			7.2.3.1 Quantum Sensors and Quantum Imaging in Disease Diagnosis
			7.2.3.2 Quantum Computing Impact on Drug, Diagnostic Research, and Disorder Screening Process
			7.2.3.3 Quantum Machine Learning Systems
			7.2.3.4 Silico Trials and Personalized Health Care
			7.2.3.5 Genomic Medicine
			7.2.3.6 Data Storage, Transmission, and Security
			7.2.3.7 Predictive Healthcare
			7.2.3.8 Hospital on Cloud
	7.3 Future Scope
	7.4 Conclusions
	Acknowledgement
	References
Chapter 8 An Overview on Future Applications of Quantum Computing
	8.1 Introduction
	8.2 Quantum Computer Framework
	8.3 Experimental Perspective of Quantum Computing
	8.4 Quantum Computing Algorithms
	8.5 Quantum Computing Applications
		8.5.1 Quantum Computing Healthcare Approaches
		8.5.2 Diagnostic Assistance
		8.5.3 Precision Medicine
		8.5.4 Pricing
		8.5.5 Quantum Technology
		8.5.6 Quantum Cryptography
		8.5.7 Artificial Intelligence
		8.5.8 Weather Forecasting
		8.5.9 Financial Management
		8.5.10 Logistics Operation
		8.5.11 Quantum Key Distribution
		8.5.12 Quantum Computing in Machine Learning and Big Data
		8.5.13 Quantum Computing in Cloud Computing
		8.5.14 Quantum Computing in Robotics
		8.5.15 Quantum Computing in Material Science
	8.6 Conditions for Quantum Computing
		8.6.1 Advantages of Quantum Computing
		8.6.2 Challenges in Quantum Computing
	8.7 Future of Quantum Computing
	8.8 Discussion
	References
Chapter 9 Authentication and Authorization for Electronic Health Records Using Merkle Tree – Attribute-Based Encryption
	9.1 Introduction
		9.1.1 Healthcare 4.0
		9.1.2 Electronic Health Records
		9.1.3 Privacy of Patient Data
	9.2 Attribute-Based Encryption
		9.2.1 Key Policy Attribute-Based Encryption
		9.2.2 Ciphertext Policy Attribute-Based Encryption
	9.3 Merkle Trees
		9.3.1 Role of Merkle Trees in Blockchain
		9.3.2 String Commitment by Merkle Trees
	9.4 Merkle Tree – Attribute-Based Encryption
		9.4.1 Description of the Algorithm
		9.4.2 Generating Merkle Subtree Using Attributes
		9.4.3 Authentication and Authorization Using MT-ABE
	9.5 Demonstration of the Algorithm
		9.5.1 Setup Phase
		9.5.2 Access Phase
	9.6 Performance Measures
	9.7 Summary and Closing Remarks
	References
Chapter 10 Artificial Intelligence, Machine Learning and Smartphone- Internet of Things (S-IoT) for Advanced Student Network and Learning
	10.1 Introduction
	10.2 Machine Learning for Advanced Student Network and Learning
	10.3 Smartphone-Internet of Things ( S-IoT) for Advanced Student Network and Learning
	10.4 Conclusion and Future Scope
	References
Chapter 11 IoT-Based Smart Mask to Combat COVID-19
	11.1 Introduction
	11.2 Literature Review
	11.3 Role of IoMT Devices in Real Life
		11.3.1 Wearable IoMT
		11.3.2 Non-wearable IoMT
	11.4 Need for Smart Mask and Drone-assisted Check on Smart Mask
		11.4.1 Need
	11.5 Research Objectives and Methodology
		11.5.1 Methodology
	11.6 Conclusion
	References
Chapter 12 Encryption Algorithms for Cloud Computing and Quantum Blockchain: A Futuristic Technology Roadmap
	12.1 Introduction
		12.1.1 Cloud Computing
		12.1.2 Characteristics of Cloud Computing
		12.1.3 Architecture of Cloud Computing
		12.1.4 Services of Cloud Computing
	12.2 Security Implications of Cloud Computing
	12.3 Literature Survey Supporting Solutions for Imparting Security in Cloud Layer
		12.3.1 Cloud Computing Security Solutions
		12.3.2 Two-factor Data Security Protection Mechanism for Cloud Storage System
		12.3.3 Attribute-based Access Control with Constant-size Cipher Text in Cloud Computing
		12.3.4 Shared Authority-based Privacy-preserving Authority Authentication Protocol
		12.3.5 Hybrid Authentication Protocol
	12.4 Comparative Investigation of Various Encryption Algorithms Supporting Security at Cloud Layer
	12.5 Quantum Computing and Blockchain
		12.5.1 Basics of Quantum Computing
		12.5.2 How Quantum Fits in Cloud: As-A-Service Quantum Computing
	12.6 Recent Progress towards Solving Issues
	12.7 Conclusions and Future Scope
	References
Chapter 13 Quantum Artificial Intelligence for the Science of Climate Change
	13.1 Introduction
	13.2 Science of Climate Change and the Role of Artificial Intelligence
	13.3 Quantum Artificial Intelligence for the Science of Climate Change
		13.3.1 Complex Problems in Earth System Science: Potential for QAI
		13.3.2 Technological Solutions for Implementing QAI
		13.3.3 Case Study on the Use of QAI for Climate Science
	13.4 Conclusions and Future Work
		13.4.1 Software Availability
	References
Chapter 14 Quantum Computing-Based Optimization in Depression Detection Using Speech
	14.1 Introduction
	14.2 Genetic Algorithm
	14.3 Particle Swarm Optimization
	14.4 Ant Colony Optimization
	14.5 Whale Optimization Algorithm
	14.6 Quantum Computing-based Whale Optimization Algorithm for Feature Selection
		14.6.1 Quantum Computing Whale Optimization Algorithm Flow
	14.7 Depression
		14.7.1 Objective Measures for Depression Detection
		14.7.2 Related Work
	14.8 Experimentation Analysis
	14.9 Conclusion and Future Directions
	Acknowledgement
	References
Index