/ACANN_Bis

An Artificial Neural Network Approach for the Analytic Continuation Problem

Primary LanguageJupyter Notebook

Introduction

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.

  1. MaxEnt

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

  1. Data

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

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