Quantum Model Averaging
arXiv:1405.6329 · doi:10.1088/1367-2630/16/9/093035
Abstract
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.
For a summary, see http://i.imgur.com/nMJxANo.png
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