Bayesian Inference for Randomized Benchmarking Protocols

Understand

Randomized benchmarking (RB) protocols are standard tools for characterizing quantum devices.

• Prior analyses of RB protocols have not provided a complete method for analyzing realistic data, resulting in a variety of ad-hoc methods.
• The main confounding factor in rigorously analyzing data from RB protocols is an unknown and noise-dependent distribution of survival probabilities over random sequences.
• We propose a hierarchical Bayesian method where these survival distributions are modeled as nonparametric Dirichlet process mixtures.