Machine learning with quantum computers / Maria Schuld, F. Petruccione.

By:

Schuld, Maria

Contributor(s):

Petruccione, F

Series: Quantum science and technologyPublication details: Cham, Switzerland : Springer, 2021.Edition: Second editionDescription: xiv, 312 pages : illustrations (some color) ; 24 cmISBN:

9783030830977
9783030830984

Subject(s):

DDC classification:

006.31 21

Contents:

Introduction Machine learning Quantum computing Representing data on a quantum computer Variational circuits as machine learning models Quantum models as Kernel methods Fault-tolerant quantum machine learning Approaches based on the Ising model Potential quantum advantages

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode	Item holds
Book	Ayesha Abed Library General Stacks	Ayesha Abed Library General Stacks	006.31 SCH (Browse shelf(Opens below))	1	Available		3010044094
Book	Ayesha Abed Library General Stacks	Ayesha Abed Library General Stacks	006.31 SCH (Browse shelf(Opens below))	2	Available		3010044095

Total holds: 0

Includes bibliographical references and index.

Introduction
Machine learning
Quantum computing
Representing data on a quantum computer
Variational circuits as machine learning models
Quantum models as Kernel methods
Fault-tolerant quantum machine learning
Approaches based on the Ising model
Potential quantum advantages

There are no comments on this title.

to post a comment.