Spring

Stochastic Optimal Control in Robotics Project

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

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.

Interactive visualisations for the variational polaron problem with Makie.

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

A simple (PI)MD code for 1D systems

Robot Controls Course Project

Repository for Deterministic Particle Flow Control framework

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

Visualization tool for the Feynman Path Integral applied to quantum circuits

Bosons/Fermions Superfluid problem with morden tools.

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

Quantum reaction rates in nonlinear dissipative systems with Python and NumPy

This repository contains Python implementation Path integral Quantum Monte-Carlo to find the ground state energy of the harmonic oscillator.

Variational Feynman Path Generator

Pigs might just fly.

numerical simulation with path integral