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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

Monitoring and tracking jobs

The Qiskit Notebooks hosted on IQX are built on Jupyter Notebooks. This allows us to use some of the features that are available to us to enhance our experience and optimize our time when programming quantum circuits. One of these features is the ability to track jobs in real time while they are executing. We'll try this out here with a test circuit using the following steps:

  1. First, we'll create a new Qiskit notebook and enter the following in a new cell:
    # Import the Qiskit Jupyter tools 
    from qiskit.tools import jupyter
  2. Now that we have imported the Qiskit Jupyter tools and have created our provider, we can launch the job tracking widget:
    # Initialize the job tracker to automatically track all # jobs
    %qiskit_job_watcher

    The preceding code will launch the Job Watcher widget to the top left of your Qiskit notebook to track your jobs.

  3. We'll then create and execute a circuit to test the job watcher:
    # Let's run a simple circuit...
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