Book Image

Learn Quantum Computing with Python and IBM Quantum Experience

By : Robert Loredo
Book Image

Learn Quantum Computing with Python and IBM Quantum Experience

By: Robert Loredo

Overview of this book

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.
Table of Contents (21 chapters)
1
Section 1: Tour of the IBM Quantum Experience (QX)
5
Section 2: Basics of Quantum Computing
9
Section 3: Algorithms, Noise, and Other Strange Things in Quantum World
18
Assessments
Appendix A: Resources

Technical requirements

In this chapter, it is expected that you have some understanding of the effects of noise on electronic systems and how to simulate them on a quantum computer. This chapter will cover some refreshers on simulating noise; however, the recommendation for you is to review Chapter 10, Executing Circuits Using Qiskit Aer, to get an understanding of how to simulate noise on a simulator from the configuration information of a quantum computer. This will help you understand an end-to-end scenario to simulate and mitigate errors on a simulator based on a quantum computer. The results of the simulation will provide information that will be leveraged to mitigate your circuit results after executing your circuit on a quantum computer.

Here is the source code we'll be using throughout this book: https://github.com/PacktPublishing/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience. Here is the link for the CiA videos: https://bit.ly/35o5M80