ENGLISH

Quantum Machine Learning

By Siddhartha Bhattacharyya (editor) , Sourav De (editor) , Indrajit Pan (editor) , Ashish Mani (editor) , Elizabeth Behrman (editor) , Susanta Chakraborti (editor)

Book information

Publisher
de Gruyter
Year
2020
ISBN
311067064X, 9783110670646
Language
english
Format
PDF
Filesize
1 MB (1283389 bytes)
Series
De Gruyter Frontiers in Computational Intelligence
Pages
131\133
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2020-12-12 17:47:24

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.

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