open-quantum-systems
There are 33 repositories under open-quantum-systems topic.
tencent-quantum-lab/tensorcircuit
Tensor network based quantum software framework for the NISQ era
tempoCollaboration/OQuPy
A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
shareloqs/MPSDynamics
Tensor network simulations for finite temperature, open quantum system dynamics
qutip/QuantumToolbox.jl
Quantum Toolbox in Julia
qutip/HierarchicalEOM.jl
An efficient Julia framwork for Hierarchical Equations of Motion (HEOM) in open quantum systems
Spooky-Manufacturing/QEDA
Quantum Electronics Design Automation - The RTL of Quantum Computing
tmancal74/quantarhei
Open Quantum System Theory for Molecular Systems
jwa7/quantum_HEOM
A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.
Arif-PhyChem/MLQD
MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics
detrin/OpenQuantumSystems.jl
Library for the numerical simulation of open quantum systems.
tensorcircuit/tensorcircuit-ng
Tensor network based quantum software framework: next generation
dehe1011/QuantumDNA
A tool to calculate lifetimes, average charge separation and dipole moments of excited states along DNA within the formalism of open quantum systems.
Ilumirnau/Open-Quantum-Systems
Worksheets for the module Open Quanum Systems, part of the MSc Quantum Science and Technology at Trinity College Dublin.
val-link/iTEBD-TEMPO
Open quantum system dynamics using process tensor networks and iTEBD.
cartiaco/Wetting-with-Lindblad
Mathematica notebook for studying the wetting critical behavior within the Lindblad dissipative dynamics by C. Artiaco, A. Nava, and M. Fabrizio - https://arxiv.org/abs/2206.11662
dhryniuk/VMPOMC
Variational Matrix Product Operator Monte Carlo
Arif-PhyChem/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"
Arif-PhyChem/QD3SET
The first and the only dataset in the field of Quantum Dissipative Dynamics
Arif-PhyChem/Quantum_dissipative_dynamics_with_kernel_methods
Speeding up quantum dissipative dynamics of open systems with kernel methods
EmilianoG-byte/opentn
Code for my master thesis at the Scientific Computing chair @ TUM under the supervision of Prof. Christian Mendl
iyanmv/OQS_ws18-19
Solutions (code + plots) for the numerical problem sheets of the course Open Quantum Systems (Universität Ulm)
quantum-exeter/QuantumUtilities.jl
Collection of useful functions and types for the simulation of Quantum systems
quantum-exeter/SpectralDensities.jl
Package that defines commonly used spectral densities for Open Quantum Systems.
Arif-PhyChem/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
federicogallina/freschers
Training repository for new PhD students in the Theoretical Chemistry Group at the University of Padova.
JessicaJohnBritto/QOSF_Cohort6
Project on studying Open Quantum System Models and simulating them using OQC Lucy Hardware.
Sampreet/quantrl
A toolbox to interface reinforcement learning with quantum systems!
GabrielSiqueira1/MPC-Controle-Quantico
Projeto que usa MPC (Modelo de controle preditivo) juntamente com o controle quântico para manipulação da função de onda apresentada na equação de Schrodinger, a base para mecânica quântica
MarcNairn/SpinOrg
Semiclassical spin self organization v.2: Julia files & Bash scripts. The code was used to produce the results seen in https://arxiv.org/abs/2407.19706
RamPrakash08/Exceptional_Point_Sensors
Specifically showed that eigenvalue variations under a perturbation are not a good measure of the overall sensor performance near an Exceptional Point.
richard-hartmann/BCFUtils
utilizuies to manage bath correlation function and related quantities including fitting of multi-exponential representations in time domain
stiglers-eponym/frtrg
Floquet real-time renormalization group implemention in python for the single channel Kondo model