Quantum reaction rates in nonlinear dissipative systems with Python and NumPy

A serial, parallel and vectorised version of PLDM dynamics has been implemented. The serial version uses numba to get speedup of a compiled language. The parallel version uses mpi4py to utilise the multiprocessing capability of HPC clusters. The vectorised version uses a wide variety of GPU libraries (cuda, cupy, pytorch) to highly vectorise PLDM.

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

Bosons/Fermions Superfluid problem with morden tools.

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

A simple (PI)MD code for 1D systems

Variational Feynman Path Generator

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

Spring

Interactive visualisations for the variational polaron problem with Makie.

numerical simulation with path integral

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.

Pigs might just fly.

Path integral quantum Monte Carlo

Repository for Deterministic Particle Flow Control framework

Stochastic Optimal Control in Robotics Project

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

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