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

Chapter 11: Mitigating Quantum Errors Using Ignis

Ignis, as described in the Qiskit library, is a framework that contains various functionalities, such as characterization, verification, and mitigation. What this means is that it provides the ability to characterize the effects of noise on the system, verify the performance capabilities of the various gates and circuits, and calibrate circuits to generate routines that lessen the errors in your results.

This chapter will cover these topics by taking you through the process of characterizing and estimating the decoherence of the qubits from noise models. This will help you visualize and mitigate errors after measuring your results. We'll also work on mitigating quantum errors from the results we get back from the quantum devices using some of the features from the Ignis library.

In quantum systems, this noise originates from various sources: thermal heat from electronics, decoherence, dephasing, connectivity, or signal loss...