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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

Understanding the noise effects of decoherence

We learned in Chapter 9, Simulating Quantum Systems and Noise Models, that we can generate various noise models that are based on the configuration of a specified quantum computer. After the configuration information is extracted, we can then apply any one of an array of error functions to a local simulator, which will reproduce similar error effects to what we would get from a quantum computer.

In this section, we will expand on that to learn how these errors affect our circuits over time. The two effects we will review here are the two most common issues found in near-term quantum systems: relaxation and dephasing. These are critical errors as they can affect the quantum state information, which would result in erroneous responses.

Later in this chapter, we will also look at readout errors, another common source of noise that originates when the system is applying a measurement pulse, while in parallel, listening in on the acquisition...

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