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Learn Quantum Computing with Python and IBM Quantum

Learn Quantum Computing with Python and IBM Quantum

By : Robert Loredo
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Learn Quantum Computing with Python and IBM Quantum

Learn Quantum Computing with Python and IBM Quantum

By: Robert Loredo

Overview of this book

The IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business.
Table of Contents (18 chapters)
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14
Other Book You May Enjoy
15
Index
1
Appendix A: Resources

Visualizing and enhancing circuit graphs

This section will focus on the various visualizations available in Qiskit. The graphs we have been using so far were from the default visualization 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 visualization 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 circuit_drawer comes in handy with various features. Let’s begin with a simple quantum circuit to illustrate the various visual rendering...

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