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

Product type Paperback

Published in Sep 2020

Publisher Packt

ISBN-13 9781838981006

Length 510 pages

Edition 1st Edition

Languages

Python

Tools

IBM Quantum

Concepts

Quantum Computing

Author (1):

Robert Loredo

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

Questions

Create a filter that will return the least busy backend to run a quantum circuit that includes any constraint other than those covered in this book (Hint: use the backend.configuration() function to view other backend configuration variables).
Can you name two components of the Transpiler?
Which component allows you to specify the passes to use?
What is the depth of a Toffoli gate when decomposed?
Is there a difference between when decomposing a Toffoli gate using decompose() versus the Transpiler?
What are the basis gates on the ibmq_santiago device?
What are the five pass types?
What is the default optimization_level value when running the execute() function?
What are the default optimization_level values set for TrivialLayout and DenseLayout?