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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

Summary

In this chapter, we covered some of the many effects that noise has on a quantum computing system, both specific to the qubit and externally with respect to the quantum system itself via readout errors. We discovered how we can use the Qiskit Runtime service to run our circuits using the fundamental building blocks known as Primitives. Finally, we learned how to apply error suppression and mitigation techniques to our quantum circuits so to filter the noisy results from a quantum device, which significantly reduces errors and provides more accurate results to complex quantum circuits.

In the next chapter, we will learn how to create quantum applications using the many features available in Qiskit. We will look at creating quantum algorithms, and ultimately provide you with all the tools you need to create your own quantum algorithms and quantum applications.

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