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Contextuality and inductive bias in quatum machine learning models: numerical study

This repository contains the code (numerics.ipynb) used to generate the plots of section 8 'outperforming classical surrogates' in arXiv:XXXXX.

The quantum circuit simulation is done in pennylane. Both the quantum and surrogate training using the JAX for vectorisation and gradient computation.

Dependencies:

  • pennylane
  • JAX
  • optax

The files X_data.npy and Y_data.npy contain the input data and labels in numpy array format.

please email any questions to [email protected].