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


In this chapter, we covered the various artifacts available to you via Qiskit Aqua. You learned about just a few of the many components available to you, including Oracles and circuit state functions. You also learned about some of the utilities and how they can take away some of the tedious work so that you can focus on the more interesting parts of your quantum application.

You now have the skills to easily create your own quantum applications in a way that simplifies the creation process. You can do this by piecing the applications together based on available algorithms, components, and utilities.

Finally, we looked at various problems that we needed to solve using a variety of quantum algorithms, without having to really understand how they are constructed. The focus was on how to represent the problem and apply it via a combination of available components and algorithms.

In the next chapter, we will cover the various quantum algorithms we've looked at in...