Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository.

Experiments: avg_rank_exp.py: Experiments for training QNNs using training data of varying Schmidt rank nlihx_exp.py: Experiments for training QNNs using linearly dependent data ortho_exp.py: Experiments for training QNNs using orthogonal training data Visualisation/Analysis of data (plots.py): - Generates plots for the experiments above either from the data in experimental_results or from the processed results (see Data). - Processes results to extract information from raw data in experimental_results (to change behavior see the function calls at the end of plots.py).