36 skills found · Page 1 of 2
mstksg / HamiltonSimulate physics on generalized coordinate systems using Hamiltonian Mechanics and automatic differentiation. Don't throw away your shot.
pyphs / PyphsModeling, simulation and code-generation of multiphysical Port-Hamiltonian Systems in Python.
USCqserver / HOQSTTutorials.jlTutorials for Hamiltonian Open Quantum System Toolkit(HOQST)
HPQC-LABS / FeynDynType 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.
flynnbr11 / QMLAPython framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
qcode-uni-a / SymptSymbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and time-dependent systems at both operator and matrix level.
Institute-Eng-and-Comp-Mechanics-UStgt / ApHINA data-driven framework for the identification of latent port-Hamiltonian systems
SINTEF / Pseudo Hamiltonian Neural NetworksThe package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
USCCACS / MISTIQSA full-stack, cross-platform software for generating, compiling, and executing quantum circuits for simulating quantum many-body dynamics of systems governed by Heisenberg Hamiltonians
cnborja / Floquet Fourier ApproachPython scripts to calculate and plot the quasienergy spectra from the time-independent Floquet hamiltonian of physical systems
itpplasma / GORILLAGORILLA: Guiding-center ORbit Integration with Local Linearization Approach
Zymplectic / Zymplectic ProjectSymplectic integration of Hamiltonian systems. Zymplectic is a pre-compiled GUI and engine with 2D/3D-graphics bundled with more than 100 example dynamical systems in cpp format
shaandesai1 / PortHNNPort-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems
cchandre / PyhamsyspyHamSys is a Python package for scientific computations involving Hamiltonian systems
Algopaul / PortHamiltonianBenchmarkSystems.jlA collection of port-Hamiltonian benchmark systems
anshu957 / OrderChaosHNNHamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos
Beckers-Lab / PyGpPhsThe PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.
lauvergn / ElVibRot TnumTanaGeneral 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.
mseri / Hammech20Lecture Notes for the Hamiltonian Mechanics course
flavioluiz / Port HamiltonianSome partial results of my research on port-Hamiltonian systems.
