variational-monte-carlo
Machine learning algorithms for many-body quantum systems
Variational Monte Carlo for quantum many-body systems
jQMC code implements two real-space ab initio quantum Monte Carlo (QMC) methods. Variatioinal Monte Carlo (VMC) and lattice regularized diffusion Monte Carlo (LRDMC) methods. jQMC achieves high-performance computations especially on GPUs.
A high performance simulations toolkit for loop quantum gravity, built with NetKet
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
Quantum Variational Monte Carlo with Neural Networks - Project repository for my master's thesis in computational physics at the University of Oslo
