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Quantum Computing with Silq Programming

You're reading from   Quantum Computing with Silq Programming Get up and running with quantum computing with the simplicity of this new high-level programming language

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800569669
Length 310 pages
Edition 1st Edition
Languages
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Authors (2):
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Thomas Cambier Thomas Cambier
Author Profile Icon Thomas Cambier
Thomas Cambier
Srinjoy Ganguly Srinjoy Ganguly
Author Profile Icon Srinjoy Ganguly
Srinjoy Ganguly
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Essential Background and Introduction to Quantum Computing
2. Chapter 1: Essential Mathematics and Algorithmic Thinking FREE CHAPTER 3. Chapter 2: Quantum Bits, Quantum Measurements, and Quantum Logic Gates 4. Chapter 3: Multiple Quantum Bits, Entanglement, and Quantum Circuits 5. Chapter 4: Physical Realization of a Quantum Computer 6. Section 2: Challenges in Quantum Programming and Silq Programming
7. Chapter 5: Challenges in Quantum Computer Programming 8. Chapter 6: Silq Programming Basics and Features 9. Chapter 7: Programming Multiple-Qubit Quantum Circuits with Silq 10. Section 3: Quantum Algorithms Using Silq Programming
11. Chapter 8: Quantum Algorithms I – Deutsch-Jozsa and Bernstein-Vazirani 12. Chapter 9: Quantum Algorithms II – Grover's Search Algorithm and Simon's Algorithm 13. Chapter 10: Quantum Algorithms III – Quantum Fourier Transform and Phase Estimation 14. Section 4: Applications of Quantum Computing
15. Chapter 11: Quantum Error Correction 16. Chapter 12: Quantum Cryptography – Quantum Key Distribution 17. Chapter 13: Quantum Machine Learning 18. Other Books You May Enjoy

Summary

In this chapter, you learned about the concept of machine learning and the various algorithms that hold importance in industries today. Then, we looked into the concepts of quantum machine learning and how it is different from classical machine learning. During the discussion of quantum machine learning, you learned about various encoding schemes, kernel-based quantum models, the quantum K-means algorithm, and variational circuits. Finally, we discussed the latest goings-on in the field of quantum computing, with some resources for you to keep yourself up to date on the latest developments in the field of quantum computing.

Heartiest congratulations to you as you have reached the end of this chapter and this book! We hope that you have gained some valuable knowledge in the new high-level quantum programming language Silq and that you will be able to apply that knowledge in your own research and make interesting quantum projects and applications.

We hope that you have...

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