Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

Visualization tool for the Feynman Path Integral applied to quantum circuits

Robot Controls Course Project

Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.

Stochastic Optimal Control in Robotics Project

Repository for Deterministic Particle Flow Control framework

Path integral quantum Monte Carlo

Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.

This is a Path Integral Ground State Monte Carlo code written in Fortran. It is intended to the description of 4He in three dimensions but it can be easily extended to any other homogeneous or trapped system in any dimensions

Pigs might just fly.

Spring

Interactive visualisations for the variational polaron problem with Makie.

An optional control algorithm, model predictive path integral (MPPI) control, implementation using Julia.

Bosons/Fermions Superfluid problem with morden tools.

Variational Feynman Path Generator

Using Nonadiabatic Matsubara (Path-Integral formalism) to predict the charge transfer quantum dynamics.

A simple (PI)MD code for 1D systems

Quantum reaction rates in nonlinear dissipative systems with Python and NumPy