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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

Introducing quantum computing

Quantum computing isn’t a subject that is as common as learning algebra or reading some of the literary classics. However, for most scientists and engineers or people in any other field that includes studying physics, quantum computing is part of the curriculum. Those of us who don’t quite recall our studies in physics, or have never studied it, need not worry, as this section aims to provide you with information that will either refresh your recollection of the topic or at least, perhaps, help you understand what each of the principles used in quantum computing means. Let’s start with a general definition of quantum mechanics.

Quantum mechanics, as defined by most texts, is the study of nature at its smallest scale—in this case, the subatomic scale. The study of quantum mechanics is not new. Its growth began in the early 1900s thanks to the efforts of many physicists, whose names still chime in many of the current theories...

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