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Full Description
Multilevel Quantum Metaheuristics: Applications in Data Exploration explores the most recent advances in hybrid quantum-inspired algorithms. Combining principles of quantum mechanics with metaheuristic techniques for efficient data optimization, this book examines multilevel quantum systems characterized by qudits and higher-level quantum states as more robust alternatives to conventional bilevel quantum approaches. It introduces novel multilevel applications of quantum metaheuristics for addressing optimization problems in areas including function optimization, data analysis, scheduling, and signal processing. The book also showcases real-world examples, case studies, and contributions that emphasize the effectiveness of proposed multilevel techniques over existing bilevel methods. Researchers, professionals, and engineers working on intelligent computing, quantum computing, data processing, clustering, and analysis, and those interested in the synergies between quantum computing, metaheuristics, and multilevel quantum systems for enhanced data exploration and analysis will find this book to be of great value.
Contents
Preface
Dedication
1. Multilevel Quantum Metaheuristics: Fundamentals and Applications
2. Multilevel Quantum Metaheuristics and Their Role in Data-Intensive Applications
3. Beyond Qubits: Exploring Molecular Spin Qudits for Advanced Quantum Computing
4. Neural Architecture Search Using a Quantum Genetic Algorithm for Image Classification
5. Revolutionizing Network Optimization: Enhancing Efficiency and Performance through Quantum Computing and Hybrid Quantum-Classical Approaches
6. Automated Cluster Number Detection in Hyperspectral Images Using a Qutrit Flower Pollination Algorithm
7. Multi objective portfolio optimization using multilevel quantum-inspired optimization algorithms: A comparative study
8. A Comprehensive Performance Analysis of the Quantum-Inspired Genetic Algorithm for Image Segmentation
9. Quantum-Inspired Metaheuristics for Drug Design and Discovery
10. Application of Quantum Metaheuristics Techniques in Data Exploration for IoT Environment
11. Task Allocation and Scheduling
12. Image Processing and Signalling in Multilevel Quantum Metaheuristics
13. AQIMLQC : A Framework for Advancing Air Quality Prediction using Quantum-Inspired Metaheuristics on Climate Change to achieve positive health
14. Quantum Approaches to Task Allocation and Scheduling: Enhancing Efficiency and Optimisation in Distributed Systems
15. Multilevel Quantum Metaheuristics: Concluding Remarks and Future Directions of Research
