Hands-on Introduction to Randomized Benchmarking

The goal of this tutorial is to provide an overview of the main principles behind randomized benchmarking techniques. A newcomer to the field faces the challenge that a considerable amount of background knowledge is required to get familiar with the topic. Our purpose is to ease this process by providing a pedagogical introduction to randomized benchmarking. Every chapter is supplemented with an accompanying Python notebook, illustrating the essential steps of each protocol.
Comment: 58 pages, 7 figures, code: https://gitlab.com/QMAI/papers/rb-tutorial