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portada Quantum Machine Learning (QML): Platform, Tools and Applications
Type
Physical Book
Publisher
Collection
Advances in Computers
Year
2026
Pages
310
Format
Hardcover
Dimensions
22.9x15.2 cm
ISBN13
9780443223822

Quantum Machine Learning (QML): Platform, Tools and Applications

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Synopsis "Quantum Machine Learning (QML): Platform, Tools and Applications"

Quantum Machine Learning (QML): Platform, Tools and Applications, Volume 140 in the Advances in Computers series, explores the intersection of quantum computing and artificial intelligence, highlighting advances that promise to revolutionize computational science. The book introduces foundational concepts in quantum computing and circuits, building toward the practical implementation of quantum machine learning (QML) algorithms. Chapters address challenges such as the gradient vanishing problem in variational quantum circuits and explore powerful optimization methods enabled by quantum mechanics. The volume also covers advanced applications, including quantum approaches to smart grid management, quantum Monte Carlo simulations, and predictive modeling in numerical solvers using quantum neural networks. Real-world relevance is underscored through discussions of transformative quantum algorithms and their potential to reshape machine learning, enabling unprecedented performance in data analysis, optimization, and beyond.

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