|
|
books
| 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 5 170.95
Price: R 4 653.95
|
| 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 |
Publisher | Elsevier Science Publishing Co Inc
Published date | 10 Feb 2026
Language |
Format | Hardback
Pages | 314
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4432-2382-2
Readership Age |
BISAC | computers / programming / software development
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7 922.95
Price | R 7 130.95
| on special |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
|
Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
now: R 459.95
|
|
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|
