The effect of data encoding on the expressive power of variational quantum models

This repository contains code necessary to reproduce the figures and simulation results of the paper "The effect of data encoding on the expressive power of variational quantum machine learning models" by Maria Schuld, Ryan Sweke and Johannes Jakob Meyer.

The code is presented as a jupyter notebook (called tutorial_expressivity_fourier_series.ipynb), which allows you to play around with different settings and explore the relashionship of typical quantum machine learning models and Fourier series.

The notebook can also be found as a PennyLane tutorial.