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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 Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781838981006
Pages 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, we covered various simulators. You now have the skills to leverage various simulators to simulate running circuits on a quantum computer and obtain specific content from the circuits, such as state vectors, a unitary matrix, and any scheduled pulses.

We also covered various visualization techniques. The skills that you have gained will help you visualize the various pieces of information from the simulator, such as visualizing the state and phase information of a qubit using the QSphere and plotting state vector graphs. And finally, we looked into the noise models that Aer provides by either extracting the noise from an existing quantum computer, or creating our own noise models and applying them to the simulators.

In the next chapter, we will learn how to characterize and mitigate noise using Ignis. This will allow us to optimize the performance of the quantum computer and increase its computational power. We will also learn how to measure a quantum...

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