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Forventes på lager: 18-10-2021
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.
| Forlag | Springer Nature Switzerland AG |
| Forfattere | Maria Schuld, Francesco Petruccione |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | Second Edition 2021 |
| Udgivelsesdato | 18-10-2021 |
| Første udgivelsesår | 2021 |
| Serie | Quantum Science and Technology |
| Illustrationer | 74 Illustrations, color; 30 Illustrations, black and white |
| Originalsprog | Switzerland |
| Sideantal | 312 |
| Indbinding | Hardback |
| Forlag | Springer Nature Switzerland AG |
| Sideoplysninger | 312 pages, 74 Illustrations, color; 30 Illustrations, black and white |
| Mål | 161 x 242 x 27 |
| ISBN-13 / EAN-13 | 9783030830977 |