# Notes for Meeting April 7 2022 ## Single circuit model * Training with single latent variable * We're using this SIC-POVM measurements, can we do something better? * Untrained can be mistaken for extracting EE, but ... * Training properly it just learns $\theta$ * "properly" means ? What can we do from here? * Could be because there is no noise in dataset * Could be because at single theta there is just one deterministic sample (unlike Ising) * Could be that we need to add more constraints to loss function (penalize learning input parameter) * Related to beta-VAE? Other ideas from 'disentangling'