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)
Section 1: Tour of the IBM Quantum Experience (QX)
Section 2: Basics of Quantum Computing
Section 3: Algorithms, Noise, and Other Strange Things in Quantum World
Appendix A: Resources

Visualizing and enhancing circuit graphs

This section will focus on the various visualizations available in Terra. The graphs we have been using were from the default drawer library in Qiskit. However, we can specify other drawing tools that may be better suited for your documentation purposes. Say, for example, that you are authoring a research paper with Latex and you want to use the latex content.

By simply adding style parameters from the Qiskit drawer library, you can then leverage the many features included with the visualization library. We'll cover a few of those now to get you started.

Learning about customized visual circuits

When rendering a circuit, it is often necessary or convenient to have the results in a format that suits the format of your document. It's here where the Qiskit drawer comes in handy with various features. Let's begin with a simple quantum circuit to illustrate the various visual rendering examples:

  1. First, let's create...