Quantum Machine Learning

Quantum Machine Learning

In: De Gruyter Frontiers in Computational Intelligence, 6

Edited by: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman and Susanta Chakraborti

De Gruyter | 2020

DOI: https://doi.org/10.1515/9783110670707

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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 information

Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Susanta Chakraborti, India. Elizabeth Behrman, USA.

Frontmatter Free access PDF PDF	I
Contents Free access PDF PDF	VII
List of Contributors Free access PDF PDF	IX
Preface Free access PDF PDF	XI
1. Introduction to quantum machine learning Sandip Dey, Sourav De and Siddhartha Bhattacharyya Access restricted Content is available PDF PDF	1
2. Topographic representation for quantum machine learning Bruce J. MacLennan Access restricted Content is available PDF PDF	11
3. Quantum optimization for machine learning Ashish Mani, Siddhartha Bhattacharyya and Amlan Chatterjee Access restricted Content is available PDF PDF	39
4. From classical to quantum machine learning Arit Kumar Bishwas, Ashish Mani and Vasile Palade Access restricted Content is available PDF PDF	67
5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey and Jan Platos Access restricted Content is available PDF PDF	89
6. Conclusion Siddhartha Bhattacharyya Access restricted Content is available PDF PDF	115
Index Access restricted Content is available PDF PDF	117

Quantum Machine Learning

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