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Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry
book

Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry

by Santanu Ganguly
July 2021
Intermediate to advanced
561 pages
13h 41m
English
Apress
Content preview from Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry
© Santanu Ganguly 2021
S. GangulyQuantum Machine Learning: An Applied Approachhttps://doi.org/10.1007/978-1-4842-7098-1_6

6. QML Algorithms II

Santanu Ganguly1  
(1)
Ashford, UK
 

Let your life lightly dance on the edges of Time like dew on the tip of a leaf.

—Rabindranath Tagore

Quantum machine learning provides unprecedented scope in computing the techniques done in classical machine learning on a quantum computer. The entanglement and superposition of the basic qubit states promise to provide an edge over the performance and scope of classical machine learning.

By now, you should have some insights into how classical-quantum systems work across their interfaces. Currently, there are two promising ways to utilize quantum computers for machine learning ...
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Publisher Resources

ISBN: 9781484270981Purchase LinkPublisher Website