Machine Learning with Quantum Computers /

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. Am...

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Bibliographic Details

Main Authors:	Schuld, Maria (Author), Petruccione, Francesco (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	2nd ed. 2021.
Series:	Quantum Science and Technology,
Subjects:	Quantum computers. Machine learning. Mathematics. Quantum Computing. Machine Learning. Mathematics, general. Electronic books.
Online Access:	Connect to the full text of this electronic book