Tensor network based quantum software framework for the NISQ era
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Updated
Oct 22, 2025 - Python
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
The next-gen AI-native tensor-network-based quantum software framework
Base functionality library for QuantumOptics.jl
An efficient Julia framework 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
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…
A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
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.
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 Excited State Dynamics of Electrons in Molecules
Gutzwiller state for the Bose-Hubbard model, with complex and site-dependent coefficients
A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
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