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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, you learned the difference between bits and qubits and how they are represented, both mathematically and visually. You also saw the difference between how single and multi-qubit systems are represented, including their mathematical representations, as well as how they are constructed and operated on. We also covered how to visualize the qubit as a Bloch sphere and a qsphere.

You now have the skills to represent the vector states of single and multiple qubits. You also understand the difference between representing multiple qubits as separate entities and as part of a complete system by using the tensor products of the qubits. This will help you to implement and operate the qubits on IBM Quantum systems.

In the next chapter, we will cover how to perform operations on single and multiple qubits and how those operations are triggered on the qubits of the real devices.

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