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.
About the author
Siddhartha Bhattacharyya,Indrajit Pan,
Ashish Mani,
Sourav De,
Susanta Chakraborti, India.
Elizabeth Behrman, USA.
Language English ● Format EPUB ● Pages 131 ● ISBN 9783110670721 ● File size 6.0 MB ● Editor Siddhartha Bhattacharyya & Indrajit Pan ● Publisher De Gruyter ● City Berlin/Boston ● Published 2020 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 7475259 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader