Standard tomographic analyses ignore model uncertainty. It is assumed that a
given model generated the data and the task is to estimate the quantum state,
or a subset of parameters within that model. Here we apply a model averaging
technique to mitigate the risk of overconfident estimates of model parameters
in two examples: (1) selecting the rank of the state in tomography and (2)
selecting the model for the fidelity decay curve in randomized benchmarking.Comment: For a summary, see http://i.imgur.com/nMJxANo.pn
