variational-monte-carlo
There are 34 repositories under variational-monte-carlo topic.
netket/netket
Machine learning algorithms for many-body quantum systems
wdphy16/stat-mech-van
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
mdsunivie/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.
HUJI-Deep/FlowKet
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
refraction-ray/admc
Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
cqsl/mps-rnn
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
BorjaRequena/VMC_introduction
Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
aromanro/VQMCMolecule
Variational Quantum Monte Carlo for a molecule, using Fokker-Planck/Langevin approach
mortele/variational-monte-carlo-fys4411
Example class structure for use in FYS4411: Quantum mechanical systems at UiO.
bsamseth/qflow
Quantum Variational Monte Carlo with Neural Networks - Project repository for my master's thesis in computational physics at the University of Oslo
cqsl/neural-cluster-update
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
chaeyeunpark/yannq
Header only library for neural network quantum states
hwchen2017/neural_network_quantum_state
Neural Network Quantum State
yvesantonio/Data_Assimilation
Advanced Data Assimilation Algorithms and Methods
hwchen2017/Lanczos_Neural_Network_Quantum_State
Supporting code for "Systematic improvement of neural network quantum states using Lanczos (NeurIPS 2022)""
joaosds/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)
nikosavola/NeuralNetworkQuantumState
Group work for Solid State physics course at Aalto University
StefanoBarison/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, ...
twesterhout/annealing-sign-problem
📝 Code for the paper "Many-body quantum sign structures as non-glassy Ising models"
AllanChain/VariationalMC.jl
Performing variational quantum Monte Carlo (VMC) in Julia. For educational purposes.
BCarnaval/dvmc-impurity-solver
Dynamical Variational Monte Carlo (dVMC) method implemented and published in arxiv:1912.09960
cevenkadir/NeuralQuantumStates.jl
Neural quantum states in Julia
dkkim1005/Neural_Network_Quantum_State
Neural network ansatz to approximate a ground state by using variational Monte Carlo (VMC)
joaogci/FYS4411-vmc
Project 1 for the course FYS4411 Computational Physics II at the University of Oslo.
MauroCE/Dissertation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
mortele/VMC
Variational 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.
nico0407/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.