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Quantum Machine Learning
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Edited by:
Siddhartha Bhattacharyya
Language:
English
Published/Copyright:
2020
About this book
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.
- New trends in Machine Learning based on Quantum Computing and Quantum Algorithms
- Examples on real life applications
- Illustrative diagrams and coding examples
Author / Editor information
Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Susanta Chakraborti, India. Elizabeth Behrman, USA.
Topics
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Sandip Dey, Sourav De and Siddhartha Bhattacharyya Requires Authentication Unlicensed Licensed |
1 |
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Bruce J. MacLennan Requires Authentication Unlicensed Licensed |
11 |
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Ashish Mani, Siddhartha Bhattacharyya and Amlan Chatterjee Requires Authentication Unlicensed Licensed |
39 |
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Arit Kumar Bishwas, Ashish Mani and Vasile Palade Requires Authentication Unlicensed Licensed |
67 |
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Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey and Jan Platos Requires Authentication Unlicensed Licensed |
89 |
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Siddhartha Bhattacharyya Requires Authentication Unlicensed Licensed |
115 |
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
June 8, 2020
eBook ISBN:
9783110670707
Hardcover published on:
June 8, 2020
Hardcover ISBN:
9783110670646
Pages and Images/Illustrations in book
Front matter:
13
Main content:
118
Illustrations:
6
Tables:
6
Audience(s) for this book
Researchers, PhD scholars, academicians, master students, professionals.
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
