This repository contains code necessary to reproduce the figures and simulation results of the paper "New designs in quantum neural networks" by Felix Petitzon. Link ArXiv: https://arxiv.org/abs/2203.07872
Compared are:
- classical deep neural network
- quantum neural network separated into feature map and variational circuit
- same but with classical net appended
- a combined qnn, where feature and variational are merged into one fully parameterized circuit
- same but with classical net appended
The classes folder contains all needed classes and utility functions.
The jupyter notebooks fit the models to the data; and produce the plots of the paper.