Project 1 for the course FYS4411 Computational Physics II at the University of Oslo.
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Updated
Apr 3, 2022 - C++
Project 1 for the course FYS4411 Computational Physics II at the University of Oslo.
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.
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
Group work for Solid State physics course at Aalto University
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)
Neural Network Quantum State
Header only library for neural network quantum states
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.
Neural quantum states in Julia
Performing variational quantum Monte Carlo (VMC) in Julia. For educational purposes.
Supporting code for "Systematic improvement of neural network quantum states using Lanczos (NeurIPS 2022)""
📝 Code for the paper "Many-body quantum sign structures as non-glassy Ising models"
Dynamical Variational Monte Carlo (dVMC) method implemented and published in arxiv:1912.09960
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, ...
Advanced Data Assimilation Algorithms and Methods
Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
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