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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

In this chapter, you learned about the general features and capabilities provided by each of the four Qiskit elements so that you can create highly efficient quantum algorithms. You then learned how to install Qiskit locally, as well as how to contribute and find support from the Qiskit community.

Out of the four Qiskit elements available, we learned about Terra first. This provided you with the skills and functionality to create circuits, and you then applied these operations to the qubits via gates and operators.

Then, we learned about Aer, which allows us to create better simulators, and Ignis, which helps us mitigate errors and calculate the quantum volume of a system.

After that, we learned about Aqua. We understood that it is generally a high-level view of quantum computing that eliminates a lot of the underlying details of building a circuit and mitigating noise and errors. This helps simplify integrating your classical applications into a quantum system by...

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