Téléchargez le livre : Machine Learning with Quantum Computers

Machine Learning with Quantum Computers

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Éditeur :

Springer


Collection :

Quantum Science and Technology

Paru le : 2021-10-17

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Description

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.
Pages
312 pages
Collection
Quantum Science and Technology
Parution
2021-10-17
Marque
Springer
EAN papier
9783030830977
EAN PDF
9783030830984
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
7905 Ko
Prix
126,59 €
EAN EPUB
9783030830984
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
23951 Ko
Prix
126,59 €

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