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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

Visualizing and enhancing circuit graphs

This section will focus on the various visualizations available in Qiskit. The graphs we have been using so far were from the default visualization library in Qiskit. However, we can specify other drawing tools that may be better suited for your documentation purposes. Say, for example, that you are authoring a research paper with LaTeX and you want to use the LaTeX content.

By simply adding style parameters from the Qiskit visualization library, you can then leverage the many features included with the visualization library. We’ll cover a few of those now to get you started.

Learning about customized visual circuits

When rendering a circuit, it is often necessary or convenient to have the results in a format that suits the format of your document. It’s here where the Qiskit circuit_drawer comes in handy with various features. Let’s begin with a simple quantum circuit to illustrate the various visual rendering...

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