Quantum Computing: Applications and Challenges

✍ Scribed by Habiba Drias; Farouk Yalaoui

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

✦ 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