Supervised Learning with Quantum Computers Paperback / softback
by MARIA SCHULD, Francesco Petruccione
Part of the Quantum Science and Technology series
Paperback / softback
Description
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making.
The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards.
It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines.
For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''.
A special focus lies on supervised learning, and applications for near-term quantum devices.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:287 pages, 48 Illustrations, color; 35 Illustrations, black and white; XIII, 287 p. 83 illus., 48 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:03/01/2019
- Category:
- ISBN:9783030071882
Other Formats
- Hardback from £95.55
Information
-
Out of stock
- Format:Paperback / softback
- Pages:287 pages, 48 Illustrations, color; 35 Illustrations, black and white; XIII, 287 p. 83 illus., 48 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:03/01/2019
- Category:
- ISBN:9783030071882
