Learn Quantum Computing with Python and IBM Quantum Experience: A hands-on introduction to quantum computing and writing your own quantum programs with Python - Softcover

Robert Loredo

Softcover

ISBN 10: 1838981004 ISBN 13: 9781838981006

Publisher: Packt Publishing, 2020

Synopsis

A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time

Key Features

• Determine the difference between classical computers and quantum computers
• Understand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systems
• Run your own quantum experiments and applications by integrating with Qiskit

Book Description

IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors.

You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience.

By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business.

What you will learn

• Explore quantum computational principles such as superposition and quantum entanglement
• Become familiar with the contents and layout of the IBM Quantum Experience
• Understand quantum gates and how they operate on qubits
• Discover the quantum information science kit and its elements such as Terra and Aer
• Get to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithm
• How to create and visualize a quantum circuit

Who this book is for

This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required.

Table of Contents

1. The Dashboard-Exploring the IBM Quantum Experience
2. Circuit Composer - Creating a Quantum Circuit
3. Creating Quantum Circuits using Quantum Lab Notebooks
4. Understanding Basic Quantum Computing Principles
5. Understanding the Quantum Bits (Qubit)
6. Understanding Quantum Logic Gates
7. Introducing Qiskit and its Elements
8. Programming with Qiskit Terra
9. Monitoring and Optimizing Quantum Circuits
10. Executing Circuits Using Qiskit Aer
11. Mitigating Quantum Errors Using Ignis
12. Learning about Qiskit Aqua
13. Understanding Quantum Algorithms
14. Applying Quantum Algorithms
15. Appendix

About this title

About the Author

Robert Loredo is the IBM Quantum Global Technical Ambassador lead with over 20 years' experience in software architecture and engineering. He is also a Qiskit Advocate and Master Inventor who holds over 160 patents and has presented various workshops, lectures, and articles covering quantum computing, artificial intelligence, and bioinformatics world-wide. As an adjunct professor, he has taught cloud computing and software engineering at the Florida International University School of Computer Science. He holds both a bachelor's and a master's degree in Computer and Electrical Engineering from the University of Miami and is currently pursuing his PhD in Computer Science, specializing in Machine Learning and Neuroscience, at Florida International University.

Edition details

• Publisher: Packt Publishing
• Publication date: 2020
• Language: English
• ISBN 10: 1838981004
• ISBN 13: 9781838981006
• Binding: Paperback
• Number of pages: 510