quantum-dynamics
There are 0 repository under quantum-dynamics topic.
tencent-quantum-lab / tensorcircuit
Tensor network based quantum software framework for the NISQ era
machine-learningquantumquantum-algorithmsquantum-circuitquantum-computingquantum-simulationautomatic-differentiationtensor-networkneural-networktensorflowjaxnisqpytorchquantum-noisematrix-product-statesopen-quantum-systemsquantum-machine-learningvariational-quantum-algorithmsquantum-error-mitigationquantum-dynamicsLanguage:Python 257- Language:Python 164
- HierarchicalEOM.jl
NCKU-QFort / HierarchicalEOM.jl
An efficient Julia framwork for Hierarchical Equations of Motion (HEOM) in open quantum systems
Language:Julia 33 - QuantumToolbox.jl
qutip / QuantumToolbox.jl
Quantum Toolbox in Julia
Language:Julia 25 IgorBrandao42 / Quantum-Gaussian-Information-Toolbox
QuGIT is a numerical toolbox in Python for simulation of gaussian quantum states and their time evolution through unconditional and conditional dynamics
Language:Python 23HPQC-LABS / FeynDyn
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 latest version or any questions.
Language:MATLAB 22- Language:Fortran 21
jwa7 / quantum_HEOM
A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.
Language:Python 20- MLQD
Arif-PhyChem / MLQD
MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics
Language:Jupyter Notebook 14 - mesohops
MesoscienceLab / mesohops
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.
Language:Python 14 Numerical toolbox in MATLAB for Gaussian Quantum Information and time evolution of gaussian states through quantum Langevin and Lyapunov equations
Language:MATLAB 10- Language:Jupyter Notebook 9
lauvergn / ElVibRot-TnumTana
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.
Language:Fortran 9netket / netket_fidelity
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
Language:Python 9- Language:Fortran 7
PGelss / wave_train
A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
Language:Python 7tcompa / GutzwillerDynamics
Gutzwiller state for the Bose-Hubbard model, with complex and site-dependent coefficients
Language:Python 5This 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
Language:Fortran 4- Language:Roff 4
- AIQD_FMO
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"
Language:Python 3 - Quantum_dissipative_dynamics_with_kernel_methods
Speeding up quantum dissipative dynamics of open systems with kernel methods
Language:Shell 3 - Language:Python 3
- Language:Python 3
Sumner-Group / SD-QHD
C++ code to compute electron trajectories in molecular orbitals using spin-dependent quantum hydrodynamics
Language:C++ 3- OSTL
Code and data for our paper in JPCL "One-Shot Trajectory Learning of Open Quantum Systems Dynamics" https://doi.org/10.1021/acs.jpclett.2c01242
Language:Python 2 wdlang / bloch_state_quench_dynamics
Matlab codes used to generate the figures in the paper 'Sudden jumps and plateaus in the quench dynamics of a Bloch state', EPL 116, 10008 (2016)
Language:MATLAB 2Matlab codes used to generate the figures in the paper 'Cusps in the quench dynamics of a Bloch state', EPL 114, 60001 (2016)
Language:MATLAB 2- Language:C++ 1
Matlab codes used to generate the figures in the paper 'Fermi's golden rule: its derivation and breakdown by an ideal model', Eur. J. Phys. 37 065406 (2016)
Language:MATLAB 1Matlab codes used to generate the figures in the paper 'Nonsmooth and level-resolved dynamics illustrated with the tight binding model', arXiv:1404.4280
Language:MATLAB 1- Language:Julia 0
diegonti / DQ
Practical session for the Quantum Dynamics course of the "Atomistic and Multiscale Computational Modelling" Master Degree. Course 2022-2023.
Language:Python 0Generate Kinetic Energy Operators (KEO) with curvilinear coordinates (z-matrix, polyspherical ...)
Language:Fortran 0MolQuantDynLab-Haverford / MolQuantDynLab-Haverford.github.io
Website of the (Molecular) Quantum Dynamics Lab at Haverford College
Language:Python 0- Language:Python
- Language:Python
