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Learn Quantum Computing with Python and IBM Quantum Experience

You're reading from   Learn Quantum Computing with Python and IBM Quantum Experience A hands-on introduction to quantum computing and writing your own quantum programs with Python

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838981006
Length 510 pages
Edition 1st Edition
Languages
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Author (1):
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Robert Loredo Robert Loredo
Author Profile Icon Robert Loredo
Robert Loredo
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Tour of the IBM Quantum Experience (QX)
2. Chapter 1: Exploring the IBM Quantum Experience FREE CHAPTER 3. Chapter 2: Circuit Composer – Creating a Quantum Circuit 4. Chapter 3: Creating Quantum Circuits using Quantum Lab Notebooks 5. Section 2: Basics of Quantum Computing
6. Chapter 4: Understanding Basic Quantum Computing Principles 7. Chapter 5: Understanding the Quantum Bit (Qubit) 8. Chapter 6: Understanding Quantum Logic Gates 9. Section 3: Algorithms, Noise, and Other Strange Things in Quantum World
10. Chapter 7: Introducing Qiskit and its Elements 11. Chapter 8: Programming with Qiskit Terra 12. Chapter 9: Monitoring and Optimizing Quantum Circuits 13. Chapter 10: Executing Circuits Using Qiskit Aer 14. Chapter 11: Mitigating Quantum Errors Using Ignis 15. Chapter 12: Learning about Qiskit Aqua 16. Chapter 13: Understanding Quantum Algorithms 17. Chapter 14: Applying Quantum Algorithms 18. Assessments 19. Other Books You May Enjoy Appendix A: Resources

Summary

There are many algorithms that implement many of the techniques we covered in this chapter, such as amplitude amplification, oracles, phase kickbacks, and much more, which you will see used in many other algorithms, such as the quantum amplitude estimation and variational quantum Eigensolver algorithms.

I do strongly suggest trying variations of these algorithms yourself to get a better feel and understanding as to how they work.

We also used the algorithms that are built into Qiskit Aqua, which allows you as a researcher to leverage the algorithms. You have now gained the skills to integrate these algorithms into your existing research or applications without having to worry about developing circuits, mitigating against noise, or any of the other components that make up an algorithm in Aqua. This book has already done the heavy lifting for you, so you just have to implement the algorithm and process the results as you see fit.

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