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# System prepended metadata

title: Notes for Meeting April 7 2022

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# 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' 




