variational-monte-carlo
There are 3 repositories under variational-monte-carlo topic.
- netketLanguage:Python 505
wdphy16 / stat-mech-van
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
Language:Python 86mdsunivie / deeperwin
DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.
Language:Python 44HUJI-Deep / FlowKet
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Language:Python 37refraction-ray / admc
Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
- Language:Python 20
aromanro / VQMCMolecule
Variational Quantum Monte Carlo for a molecule, using Fokker-Planck/Langevin approach
Language:C++ 13BorjaRequena / VMC_introduction
Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
Language:Jupyter Notebook 13mortele / variational-monte-carlo-fys4411
Example class structure for use in FYS4411: Quantum mechanical systems at UiO.
Language:C++ 12cqsl / neural-cluster-update
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
Language:Python 9bsamseth / qflow
Quantum Variational Monte Carlo with Neural Networks - Project repository for my master's thesis in computational physics at the University of Oslo
Language:C++ 8chaeyeunpark / yannq
Header only library for neural network quantum states
Language:C++ 6hwchen2017 / neural_network_quantum_state
Neural Network Quantum State
Language:Jupyter Notebook 5yvesantonio / Data_Assimilation
Advanced Data Assimilation Algorithms and Methods
data-assimilationdata-sciencedata-analysisdata-processingdata-analyticsdata-assimilation-enkfmodel-identificationmodel-selectionmodel-driven-developmentkalman-filterkalman-estimatorensemble-learningensemble-modelsensemble-predictionensemble-kalman-filterensemble-kalman-inversionvariational-inferencevariational-methodvariational-monte-carloLanguage:MATLAB 4- Language:Python 3
- Language:C 3
nikosavola / NeuralNetworkQuantumState
Group work for Solid State physics course at Aalto University
Language:Python 2StefanoBarison / Example_code
This repository is intended to be a showcase and will contain code that I've been writing over the years on a bunch of different topics such as Variational Monte Carlo , genetic algorithms, machine learning, quantum chemistry simulations, ...
Language:Jupyter Notebook 2twesterhout / annealing-sign-problem
📝 Code for the paper "Many-body quantum sign structures as non-glassy Ising models"
Language:Python 2AllanChain / VariationalMC.jl
Performing variational quantum Monte Carlo (VMC) in Julia. For educational purposes.
Language:Julia 1BCarnaval / dvmc-impurity-solver
Dynamical Variational Monte Carlo (dVMC) method implemented and published in arxiv:1912.09960
Language:C 1cevenkadir / NeuralQuantumStates.jl
Neural quantum states in Julia
Language:Julia 1Supporting code for "Systematic improvement of neural network quantum states using Lanczos (NeurIPS 2022)""
Language:C++ 1joaogci / FYS4411-vmc
Project 1 for the course FYS4411 Computational Physics II at the University of Oslo.
Language:C++ 1joaosds / 1DVMC
Variational Monte Carlo implemented for the 1D Heisenberg Model and the Haldane-Shastry Model using a Gutzwiller projected wave function as the initial ansatz. (Fortran90)
Language:Fortran 1MauroCE / Dissertation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
bayesian-inferencemcmclaplace-approximationvariational-inferencevariational-bayeslogistic-regressionpythonmachine-learningstatisticscomputational-statisticsprmlmontemonte-carlo-simulationmonte-carlo-samplingmonte-carlo-simulationsmarkov-chainmarkov-chain-monte-carlovariationalvariational-methodvariational-monte-carloLanguage:Jupyter Notebook 1Variational Monte Carlo solver for atoms and diatomic molecules written from scratch in C++. It is possible to use the output HF basis from github.com/mortele/Hartree-Fock as the Slater determinant and let the VMC scheme optimize only the Jastrow factor.
Language:C++ 1- Language:Python 1
dkkim1005 / Neural_Network_Quantum_State
Neural network ansatz to approximate a ground state by using variational Monte Carlo (VMC)
Language:Cuda 0nico0407 / He-ground-state
The aim of this project is to compute the Helium nucleus ground state under an harmonic oscilator potential, using variational Montecarlo model and diffusion Montecarlo model.
Language:Jupyter Notebook 0- Language:Python
- Language:Python
- Language:C
