This repository contains all required steps to perform an analytic continuation on Quantum Monte Carlo Data. It is composed by the following folders :

1. Quantum Monte Carlo

This folder contains a naive implementation in c++ of a Quantum Monte Carlo algorithm that can serve as a template for generating data.

2. MaxEnt

A naive implementation in MatLab of the Maximum Entropy method. This can be used as a benchmark for comparing Machine Learning Results

3. Data

Contains a script that can generate data used to train and test neural networks.

4. Deep Learning The methods used to train, save and use a Neural Network.