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 effects of relaxation

We learned in Chapter 10, Executing Circuits Using Qiskit Aer, that we can generate various noise models that are based on the configuration of a specified quantum computer. After the configuration information is extracted, we can then apply any one of an array of error functions to a simulator, which will reproduce similar error effects to what we would get from a quantum computer.

In this section, we will expand on that to learn how to execute test circuits and visualize the results from those tests. This will help us to understand how various noise models affect the results over time. The two effects we will review here are the two most common issues found in near-term quantum systems: relaxation and dephasing. These are critical errors as they can affect the quantum state information, which would result in erroneous responses.

Later on in this chapter, we will also look at readout errors, which is another common source that originates...