Quantum Computing: Applications and Challenges (Information Systems Engineering and Management, 2)

✍ Scribed by Habiba Drias (editor), Farouk Yalaoui (editor)

• Publisher: Springer
• Year: 2024
• Tongue: English
• Leaves: 226
• Edition: 2024
• Category: Library

✦ Synopsis

This book is intended for academics, researchers, Ph.D. students, and industrials to learn about quantum computing and prepare them to understand the future with its cutting-edge tools. Quantum computing holds great promise in terms of human life quality especially when combined with artificial intelligence.

In addition to quantum computing, the book focuses on quantum artificial intelligence, quantum machine and deep learning, quantum cryptography, and quantum logistics optimization. Applications in weather forecasting, digital soil mapping, skin lesion classification, combinatorial optimization, and urgent transportation, among others, are presented.

✦ Table of Contents

Preface
Invited Speakers
From Einstein’s Doubts To Technology: The Second Quantum Revolution
Next Generation Secure Communication
The Alchemy of Vacuum
Advances in Quantum Medical Image Analysis Using Machine Learning
Post-Quantum Cryptography: Scientific, Technological and Geopolitical Challenges
Contents
An Overview of Quantum Key Agreement Protocols
1 Introduction
2 Preliminary Knowledge
2.1 Unraveling Quantum Notation: The Essence of Bra and Ket
2.2 Exploring Superposition and Measurement in Quantum Systems
2.3 The Phenomenon of Quantum Entanglement and Its Effects
2.4 Quantum Gates: Building Blocks of Quantum Computation
2.5 Assessing States in Quantum Mechanics: Bell and GHZ States
3 Comparative Analysis of QKA and QKD in Quantum Cryptography
3.1 Exploring Quantum Key Agreement
3.2 Understanding Quantum Key Distribution
3.3 Contrasting QKA with QKD
3.4 Opting for QKA over QKD: Advantages
4 Multiparty Quantum Key Agreement Protocols
4.1 The Tree-Based MQKA Protocol
4.2 The Circle-Type MQKA Protocol
4.3 The Complete Graph-Type MQKA Protocol
5 Discussion
5.1 Protocol for Multi-party Quantum Key Agreement in Tree Topology
5.2 Protocol for Multi-party Quantum Key Agreement in Circular Topology
5.3 Protocol for Multi-party Quantum Key Agreement in Complete Graph Topology
6 Conclusion
References
Variational Circuit Based Hybrid Quantum-Classical Algorithm VC-HQCA
1 Introduction
2 State of the Art
2.1 Quantum Computing
2.2 Qubits
2.3 Quantum Gates
2.4 Quantum Circuit
2.5 Quantum Machine Learning (QML)
2.6 Hybrid Quantum-Classical Models (HQCM)
3 Contributions
3.1 New Variational Circuit Level of Classification
3.2 Variational Circuit Based Hybrid Quantum-Classical Algorithm (VC-HQCA)
3.3 Pauli X/Y/Z Gates Choice Impact on One-to-one VC-Based Model's Performance
3.4 Hyper-parameters Impact on VC-HQCA's Performance
3.5 Benchmarking the VC-HQCA
4 Conclusion
5 Limitations
5.1 Limited Dataset Selection
5.2 Exploration of Different Variational Circuits
5.3 Resource Constraints
6 Perspectives
References
Quantum Computing in Non Destructive Testing of Materials
1 Introduction
2 Non Destructive Testing Overview
2.1 Ultrasonic Inspection
2.2 Eddy Current NDT
3 NDT 4.0
3.1 From Industry 1.0 to Industry 4.0
4 Quantum Computing in NDT
5 Conclusion
References
Enhanced Gaussian Quantum Particle Swarm Optimization for the Clustering of Biomedical Data
1 Introduction
2 Related Works
3 Background of GQPSO
4 The Proposed Algorithm
5 Experiments and Results
5.1 Datasets
5.2 Results and Discussion
6 Conclusion
References
Quantum Inspired Grey Wolf Optimizer for Convolutional Neural Network Hyperparameter Optimization
1 Introduction
2 Literature Overview
2.1 Optimizing CNN Hyperparameters with Metaheuristic
2.2 Quantum-Inspired Metaheuristics
3 Background
3.1 Convolution Neural Network
3.2 Grey Wolf Optimizer
3.3 Schrödinger Equation
4 Proposed Method
4.1 qGWO Algorithm
4.2 qGWO-CNN
5 Experiments
5.1 Selected Hyperparameters
5.2 Metaheuristic Parameters
5.3 Results Analysis
6 Conclusion
References
Frequent Itemsets Mining Using New Quantum Inspired Elephant Swarm Algorithm
1 Introduction
2 Background and Related Work
2.1 Preliminaries on Quantum Computing
2.2 Related Work
3 Quantum Inspired DEHO (QDEHO)
3.1 Solution Encoding
3.2 Solution Measurement
3.3 Solution Update
3.4 The Proposed Algorithm
4 Frequent Itemsets Mining (FIM) Using Quantum-DESWSA
4.1 Preliminaries on FIM
4.2 Solution Representation
4.3 Solution Update
4.4 Fitness Function
5 Performance Evaluation
5.1 Datasets Description
5.2 Numerical Results and Discussion
6 Conclusion and Perspectives
References
Quantum Slime Mould Algorithm and Application to Urgent Transportation
1 Introduction
2 Background
2.1 Slime Mould Algorithm
2.2 Basic Quantum Concepts and Techniques
3 Description of the Emergency Medical Services (EMS) Problem
4 The Proposed Quantum Slime Mould Algorithm (QSMA)
5 QSMA for Urgent Transportation
5.1 Solution Encoding
5.2 Dynamicity Modeling
6 Experiments and Results
6.1 Dataset
6.2 Empirical Results and Comparative Study
7 Conclusions
References
Quantum FP-Growth for Association Rules Mining
1 Introduction
2 Background
2.1 FP-Growth Algorithm
2.2 Quantum Computing Concepts
3 Quantum FP-Growth Algorithm
3.1 QF-List Construction
3.2 QFP-Tree Construction
3.3 Mining Frequent Itemsets
4 Experimental Implementation
5 Conclusion and Future Outlook
References
Gaussian Quantum-Behaved PSO Strategy for Lithium Battery Model Optimization
1 Introduction
2 Methods
2.1 Particle Swarm Optimization Algorithm (PSO)
2.2 Quantum-Behaved Particle Swarm Optimization Algorithm (QPSO)
2.3 Quantum-Behaved Particle Swarm Optimization Using Gaussian Mutation
2.4 ECM of Li-ion Battery
2.5 The Fitness Function
3 Results and Discussions
4 Conclusion
References
Quantum Recurrent Neural Networks for Soil Profiles Prediction in Türkiye
1 Introduction
2 Digital Soil Mapping
2.1 Background
2.2 Related Works
3 Quantum Recurrent Neural Networks for Digital Soil Mapping
3.1 Classical Recurrent Neural Networks Architecture
3.2 Fundamentals of Quantum Computing
3.3 Quantum Recurrent Neural Networks Architecture
4 Experimental Results and Discussion
4.1 Data Collection
4.2 Empirical Parameters Setting
4.3 Soil Profiles Prediction Results
5 Conclusion and Future Directions
References
Q-CODA: Co-designing Quantum Codes and Architectures for Hardware-Aware Quantum Error Correction
1 Introduction
1.1 Quantum Errors and Their Impact
1.2 Error Correction Code Design Advancements
1.3 Existing QEC Techniques
1.4 Challenges for Practical Implementation
1.5 Research Objectives and Outline
2 Related Work
3 Proposed Techniques and Methodology
3.1 Code Constructions to Reduce Overhead
3.2 Noise Characterization and Modeling
3.3 Noise Mitigation Techniques
3.4 Hardware-Aware Decoding Algorithms
3.5 Resource Analysis Framework
4 Limitations and Future Work
5 Conclusion
References
Quantum Computing for Computer Vision: Applications, Challenges, and Research Tracks
1 Introduction
2 Quantum Computing: Principles and Evolution
2.1 History
2.2 Qubit
2.3 Superposition
2.4 Entanglement
2.5 Quantum Gates
2.6 Universal Quantum Computer
2.7 Evolution of Quantum Computers
3 Quantum Computer Vision: Research and Applications
3.1 Quantum Computer Vision (QCV)
3.2 Challenges
3.3 Research Tracks
4 Conclusion
References
A Multiparty Efficient Semi-quantum Secret Sharing Protocol of Specific Bits
1 Introduction
2 Background
3 Review of Tian et al.'s Protocol
4 The Proposed Generalized Protocol
5 Security Analysis
6 Conclusion
References
Quantum Convolution for Convolutional Neural Networks
1 Introduction
1.1 Related Work
2 Preliminaries
3 Design of Quantum Convolutional Neural Network
4 Implementation and Experimental Results
4.1 Comparison with Classical CNN
4.2 Overall Performance Evaluation
5 Conclusions and Perspectives
References
A Quantum-Inspired Deep Learning Models for Skin Lesion Classification
1 Introduction
2 Related Work
3 Proposed Approach
4 Experimental Results and Discussion
5 Conclusion
References
Author Index