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Multilevel Quantum Metaheuristics

Applications in Data Exploration

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Éditeur :

Academic Press


Paru le : 2026-01-09



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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. - Provides insights into the future of quantum-inspired optimization by covering recent trends and mathematical techniques - Advances knowledge of evolving time-efficient hybrid quantum algorithms that leverage the processing capabilities of emerging qudit-based paradigms - Presents in-depth analysis of quantum mechanical principles with special reference to multilevel quantum states
Pages
300 pages
Collection
n.c
Parution
2026-01-09
Marque
Academic Press
EAN papier
9780443331367
EAN EPUB SANS DRM
9780443331374
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
196,22 €

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