To get the most out of this book

It helps if you have acquainted yourself a little bit with basic quantum computing concepts; we will not spend too much time with proofs or the deeper details. Python programming skills are also helpful, especially when we start building slightly more complex hybrid quantum/classical programs. A basic understanding of linear algebra with vector and matrix multiplication will definitely help you understand how quantum gates work, but we let Python and NumPy do the hard work.

Qiskit® supports Python 3.6 or later. The code examples in this book were tested on Anaconda 1.9.12 (Python 3.7.0) using its bundled Spyder editor with Qiskit® 0.21.0, and on the online IBM Quantum Experience® Code lab environment. We recommend our readers to use the same.

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/Quantum-Computing-in-Practice-with-Qiskit-and-IBM-Quantum-Experience. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!