Differentiable model selection toolbox for generalized probability theories and quantum causal discovery.
- Toolbox for differentiable models and gradient-based optimization
- Model selection for generalized probabilistic theories [1], [2].
- Model selection for quantum and classical causal models for Bell experiments [3].
Install dependencies using pip install -r requirements.txt.
See the tutorials folder for examples of initializing the model, fitting it to simulated/experimental data, and
analyzing the results.