Tensor network based quantum software framework for the NISQ era

Pytorch differentiable molecular dynamics

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

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

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…

Real-time TDDFT for Quantum-Espresso

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.

Julia Package for Quantum Optics and Quantum Physics

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

A python package for Gaussian wave packet dynamics

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

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

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

SOLID implementation of standard solid states physics

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

This module enables to use potentials extracted from the literature. It has the following features: * One or several degrees of freedom * One or several electronic states * For each electronic state, the energy, gradient and hessian can be obtained in the diabatic or adiabatic representations

C++ code to compute electron trajectories in molecular orbitals using spin-dependent quantum hydrodynamics