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Dancing with Qubits

You're reading from   Dancing with Qubits From qubits to algorithms, embark on the quantum computing journey shaping our future

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636754
Length 684 pages
Edition 2nd Edition
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Toc

Table of Contents (26) Chapters Close

Preface I Foundations
Why Quantum Computing FREE CHAPTER They’re Not Old, They’re Classics More Numbers Than You Can Imagine Planes and Circles and Spheres, Oh My Dimensions 6 What Do You Mean “Probably”? II Quantum Computing
One Qubit Two Qubits, Three Wiring Up the Circuits From Circuits to Algorithms Getting Physical III Advanced Topics
Considering NISQ Algorithms Introduction to Quantum Machine Learning Questions about the Future Afterword
A Quick Reference B Notices C Production Notes Other Books You May Enjoy
References
Index
Appendices

Introduction to Quantum Machine Learning

Learning is the only thing the mind never exhausts, never fears, and never regrets.

Leonardo da Vinci

It’s hard to imagine an area of computer science and data analysis that has gotten more attention and investment in recent years than AI and machine learning. While quantum computers are still not “big data” machines because of their relatively short coherence times and numbers of qubits, it is still reasonable to ask if we can extend or replace existing machine learning algorithms or computational components with quantum versions. This is the field of quantum machine learning, or QML. machine learning machine learning$quantum quantum$machine learning QML

This chapter surveys and summarizes several techniques where quantum computing might improve the performance or accuracy of neural networks and support vector machines for classification. The chapter builds on the discussion in section 1.4. algorithm$support...

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