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Learn Quantum Computing with Python and IBM Quantum

You're reading from   Learn Quantum Computing with Python and IBM Quantum Write your own practical quantum programs with Python

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Product type Paperback
Published in Feb 2025
Publisher Packt
ISBN-13 9781803244808
Length 420 pages
Edition 2nd Edition
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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 (18) Chapters Close

Preface 1. Exploring the IBM Quantum Tools 2. Creating Quantum Circuits with IBM Quantum Composer FREE CHAPTER 3. Introducing and Installing Qiskit 4. Understanding Basic Quantum Computing Principles 5. Understanding the Qubit 6. Understanding Quantum Logic Gates 7. Programming with Qiskit 8. Optimizing and Visualizing Quantum Circuits 9. Simulating Quantum Systems and Noise Models 10. Suppressing and Mitigating Quantum Noise 11. Understanding Quantum Algorithms 12. Applying Quantum Algorithms 13. Understanding Quantum Utility and Qiskit Patterns 14. Other Book You May Enjoy 15. Index
Appendix A: Resources 1. Appendix B: Assessments

Optimizing and Visualizing Quantum Circuits

In the previous chapter, you learned how to program with Qiskit, using both circuits and pulse schedules. We’ll continue with the topic of circuits in this chapter, specifically some new features that optimize and speed up the end-to-end process by reducing the overhead between the classical and quantum systems during heavy computation cycles.

Luckily, Qiskit provides plenty of features to allow us to do this with ease. Additionally, Qiskit provides a set of classes and features to optimize and enhance the visualizations of your circuits. Learning about these features will help optimize your circuit results and allow you to render the circuits in various styles and representations, such as a directed acyclic graph (DAG).

We will cover the following topics in this chapter:

  • Optimizing circuits using Preset Passmanager
  • Visualizing and enhancing circuit graphs

After reading this chapter, you will be able...

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