Hands-on Introduction to Randomized Benchmarking

TL;DR

This tutorial provides a comprehensive, beginner-friendly introduction to randomized benchmarking in quantum computing, including practical Python examples and recent advances like the gate-set shadow protocol.

Contribution

It offers a self-contained, pedagogical guide with practical implementations and discusses recent developments connecting shadow tomography with randomized benchmarking.

Findings

Provides Python notebooks illustrating benchmarking protocols

Introduces recent trends linking shadow tomography and benchmarking

Serves as an accessible educational resource for quantum device assessment

Abstract

Randomized benchmarking techniques have been an essential tool for assessing the performance of contemporary quantum devices. The goal of this tutorial is to provide a pedagogical, self-contained, introduction to randomized benchmarking. With this intention, every chapter is also supplemented with an accompanying Python notebook, illustrating the essential steps of each protocol. In addition, we also introduce more recent trends in the field that bridge shadow tomography with randomized benchmarking, namely through the gate-set shadow protocol.