March 2023
Intermediate to advanced
680 pages
13h 44m
English
book
A Practical Guide to Quantum Machine Learning and Quantum Optimization
by Elías F. Combarro, Samuel González-Castillo
Content preview from A Practical Guide to Quantum Machine Learning and Quantum Optimization
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Chapter 12 Quantum Generative Adversarial Networks
Fake it ‘till you make it — Someone, somewhere
So far, we have only dealt with quantum machine learning models in the context of supervised learning. In this final chapter of our QML journey, we will discuss the wonders and mysteries of a QML model that will lead us into the domain of unsupervised learning. We will discuss quantum versions of the famous Generative Adversarial Networks (often abbreviated as GANs) that are called Quantum Generative Adversarial Networks, quantum GANs, or QGANs.
In this chapter, you will learn what classical and quantum GANs are, what they are useful for, and how they can be used. We will begin from the basics, exploring the intuitive ideas that lead to the concept ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.