Quantum Machine Learning PDF
Edited by Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti
Part of the De Gruyter Frontiers in Computational Intelligence series
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.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:131 pages
- Publisher:De Gruyter
- Publication Date:08/06/2020
- Category:
- ISBN:9783110670707
Information
-
Download - Immediately Available
- Format:PDF
- Pages:131 pages
- Publisher:De Gruyter
- Publication Date:08/06/2020
- Category:
- ISBN:9783110670707
