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A Practical Guide to Quantum Machine Learning and Quantum Optimization
book

A Practical Guide to Quantum Machine Learning and Quantum Optimization

by Elías F. Combarro, Samuel González-Castillo
March 2023
Intermediate to advanced
680 pages
13h 44m
English
Packt Publishing
Content preview from A Practical Guide to Quantum Machine Learning and Quantum Optimization

Chapter 10 Quantum Neural Networks

The mind is not a vessel to be filled, but a fire to be kindled. — Plutarch

In the previous chapter, we explored our first family of quantum machine learning models: quantum support vector machines. Now it is time for us to take one step further and consider yet another family of models, that of Quantum Neural Networks (QNNs).

In this chapter, you will learn how the notion of a quantum neural network can arise naturally from the ideas behind classical neural networks. Of course, you will also learn how quantum neural networks work and how they can be trained. Then, you will explore how quantum neural networks can actually be implemented, run, and trained using the two quantum frameworks that we have been ...

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Publisher Resources

ISBN: 9781804613832