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| book details |
Quantum Machine Learning (QML): Platform, Tools and Applications: Volume 140
Volume editor
Shiho Kim
, Volume editor
Ganesh Chandra Deka
| on special |
normal price: R 8 336.95
Price: R 7 920.95
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| book description |
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.
| product details |
Normally shipped |
Forthcoming. We are not accepting backorders for this item yet
Publisher |
Elsevier Science Publishing Co Inc
Published date |
1 Feb 2026
Language |
Format |
Hardback
Pages |
310
Dimensions |
229 x 152 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-0-4432-2382-2
Readership Age |
BISAC |
computers / programming / software development
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The Coming Wave: AI, Power and Our Future
Mustafa Suleyman
Paperback / softback
352 pages
was: R 295.95
now: R 265.95
Stock is usually dispatched in 6-12 days from date of order
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Helgoland: The Strange and Beautiful Story of Quantum Physics
Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
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The Order of Time
Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
Available from overseas. Usually dispatched in 3 to 6 weeks
Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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