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

Generating noise models

Noise models are used to represent various noise effects that cause errors in quantum circuits. The origin of the noise stems from many sources within the quantum system. As the current devices are for near term future, the amount of errors on a device could be significant based on the quantum circuit executed on them.

In this section, we will review the various types of errors that can affect a qubit, gates, and readouts. We will also learn how to generate noise models either based on the configuration information from the real devices, or noise models created by ourselves, with which we can simulate the real devices using the simulator. We'll begin by understanding the various types of noise that can be found on a quantum system:

  1. We'll create a simple circuit, add some arbitrary gates and measurement operators, and execute it on an ideal simulator, with no errors:
    from import plot_histogram
    # Create a 2-qubit...