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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_5

5. QML Algorithms I

Santanu Ganguly1  
(1)
Ashford, UK
 

You can’t cross the sea merely by standing and staring at the water.

—Rabindranath Tagore

The first quantum computers were built a few years ago. Currently, QC technology has various choices of platforms, each of which exhibits efficiency in certain areas. Applications can benefit from quantum computing. You just need to find the right device. When developing an application, it is important to know which device serves the purpose best for the solution of a specific problem and which algorithms are best supported on the same platform.

Thoughts on boosting classical machine learning ...

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Publisher Resources

ISBN: 9781484270981Purchase LinkPublisher Website