This repository contains all required steps to perform an analytic continuation on Quantum Monte Carlo Data. It is composed by the following folders :
- 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.
- MaxEnt
A naive implementation in MatLab of the Maximum Entropy method. This can be used as a benchmark for comparing Machine Learning Results
- Data
Contains a script that can generate data used to train and test neural networks.
- Deep Learning The methods used to train, save and use a Neural Network.