You're reading from Learn Quantum Computing with Python and IBM Quantum Experience A hands-on introduction to quantum computing and writing your own quantum programs with Python

Product type Paperback

Published in Sep 2020

Publisher Packt

ISBN-13 9781838981006

Length 510 pages

Edition 1st Edition

Languages

Python

Tools

IBM Quantum

Concepts

Quantum Computing

Author (1):

Robert Loredo

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Table of Contents (21) Chapters

Preface

1. Section 1: Tour of the IBM Quantum Experience (QX)

2. Chapter 1: Exploring the IBM Quantum Experience FREE CHAPTER

3. Chapter 2: Circuit Composer – Creating a Quantum Circuit

4. Chapter 3: Creating Quantum Circuits using Quantum Lab Notebooks

5. Section 2: Basics of Quantum Computing

6. Chapter 4: Understanding Basic Quantum Computing Principles

7. Chapter 5: Understanding the Quantum Bit (Qubit)

8. Chapter 6: Understanding Quantum Logic Gates

9. Section 3: Algorithms, Noise, and Other Strange Things in Quantum World

10. Chapter 7: Introducing Qiskit and its Elements

11. Chapter 8: Programming with Qiskit Terra

12. Chapter 9: Monitoring and Optimizing Quantum Circuits

13. Chapter 10: Executing Circuits Using Qiskit Aer

14. Chapter 11: Mitigating Quantum Errors Using Ignis

15. Chapter 12: Learning about Qiskit Aqua

16. Chapter 13: Understanding Quantum Algorithms

17. Chapter 14: Applying Quantum Algorithms

18. Assessments

19. Other Books You May Enjoy

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Appendix A: Resources

Installing and configuring Qiskit on your local machine

In this section, we will walk you through the installation process of Qiskit. The installation will include installing Anaconda, which is a distribution of Python, and many other data science packages. It also serves as a simple way to manage packages and how they are installed on your local machine. In our case, it will help by installing the prepackaged dependencies we will need, such as Python, Jupyter Notebooks, PIP, and many others. Once installed, you can create an environment specific to quantum development with all the dependencies and features already installed.

Preparing the installation

Qiskit is an open source project that is available for free to everyone. It is licensed under the Apache 2.0 license (https://apache.org/licenses/LICENSE-2.0). A copy has also been included in each Qiskit module (for example, https://www.github.com/Qiskit/qiskit/blob/master/LICENSE.txt). This allows you to use the source code,...