This repository contains the source code for the numerical experiments conducted in the master's thesis titled "Toward Interpretable Quantum Machine Learning: Feature Attribution and Variational Quantum Circuits".
The FeatureAttr.py script acts as the core module, which includes various feature attribution algorithms and helper functions that are repeatedly used throughout the different experiments.
The synthetic_4x4.ipynb notebook demonstrates the usage of feature attribution methods to interpret a VQC model that has been trained on a
The FashionMNIST.ipynb notebook provides an example of how to explain a single-qubit data-reuploading classifier that was utilized in a