Tensor network based quantum software framework for the NISQ era

Pytorch differentiable molecular dynamics

Quantum Toolbox in Julia

Quantum dynamics package based on tensor network states

An efficient Julia framework for Hierarchical Equations of Motion (HEOM) in open quantum systems

Real-time TDDFT for Quantum-Espresso

Type an M x M matrix for your open quantum system Hamiltonian, and give a spectral density (analytic or numerical). FeynDyn gives the density matrix dynamics according to the Leggett-Caldeira bath or the Feynman-Vernon bath at any temperature. Can do up to 16 qubits (65536 levels) and infinitely many bath modes. Email nike@hpqc.org for the lates…

QuGIT is a numerical toolbox in Python for simulation of gaussian quantum states and their time evolution through unconditional and conditional dynamics

A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.

This is a package developed in the Mesoscience Lab to perform Hierarchy of Pure State (HOPS) calculations using an adaptive basis that provides size-invariant scaling for large systems.

Tensor network based quantum software framework: next generation

MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics

Numerical toolbox in MATLAB for Gaussian Quantum Information and time evolution of gaussian states through quantum Langevin and Lyapunov equations

Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.

A python package for Gaussian wave packet dynamics

Gutzwiller state for the Bose-Hubbard model, with complex and site-dependent coefficients

General quantum dynamics code using curvilinear coordinates and a numerical kinetic energy operator (with Tnum) : (i) Vibrational levels, intensities for floppy molecular system (ii) Wave-packet propagation with or witout time dependant Hamiltonian (iii) Quantum gate and optimal control.

DynEMol: tools for studying Dynamics of Electrons in Molecules

A Python package for numerical quantum mechanics of chain-like systems based on tensor trains

Script for data generation and Code for our article "Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics"