There are 1 repository under path-integral topic.
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Robot Controls Course Project
Visualization tool for the Feynman Path Integral applied to quantum circuits
Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.
Stochastic Optimal Control in Robotics Project
Repository for Deterministic Particle Flow Control framework
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
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.
An optional control algorithm, model predictive path integral (MPPI) control, implementation using Julia.
A simple (PI)MD code for 1D systems
Bosons/Fermions Superfluid problem with morden tools.
Variational Feynman Path Generator
Using Nonadiabatic Matsubara (Path-Integral formalism) to predict the charge transfer quantum dynamics.
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.