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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 just some of the many features included in the Qiskit library. We reviewed creating quantum circuits, as well as executing them on the simulator and real quantum devices. We also reviewed how to concatenate circuits so as to enable you to combine and create composite circuits, which included binding parameters to enable adjustments to various gates.

We covered how the circuits are converted into pulses using Qiskit’s Pulse library and created schedules, which are programs that send pulse information via various channels down to the hardware, and looked at how to obtain the details of the job that was running on the backend.

In the next chapter, we will cover techniques to optimize your quantum circuits by reviewing the features available via pass managers and optimizers. We’ll also learn various ways to visualize your quantum circuits and monitor your jobs as they are executed on the quantum backend systems.

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