
Quantum Machine Learning
De Gruyter (Publisher)
1st Edition
Published on 8. June 2020
Book
Hardback
XIII, 118 pages
978-3-11-067064-6 (ISBN)
Description
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system.
While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.
More details
Series
Language
English
Place of publication
Berlin/Boston
Germany
Target group
Professional and scholarly
US School Grade: College Graduate Student
Illustrations
6 s/w Tabellen, 6 Abbildungen
6 ill., 6 tbl.
Dimensions
Height: 246 mm
Width: 175 mm
Thickness: 15 mm
Weight
444 gr
ISBN-13
978-3-11-067064-6 (9783110670646)
Schweitzer Classification
Other editions
Additional editions

Siddhartha Bhattacharyya | Indrajit Pan | Ashish Mani
Quantum Machine Learning
E-Book
06/2020
1st Edition
De Gruyter
€159.95
Available for download

Siddhartha Bhattacharyya | Indrajit Pan | Ashish Mani
Quantum Machine Learning
E-Book
06/2020
1st Edition
De Gruyter
€159.95
Available for download
Persons
Siddhartha Bhattacharyya
,
Indrajit Pan,
Ashish Mani
,
Sourav De
,
Susanta Chakraborti
, India.
Elizabeth Behrman
, USA.