Machine Learning with Quantum Computers

Maria Schuld author Francesco Petruccione author

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:18th Oct '21

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

Machine Learning with Quantum Computers cover

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. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. 

The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.

ISBN: 9783030830977

Dimensions: unknown

Weight: 658g

312 pages

2nd ed. 2021