Neural Network Quantum State

The paper "Neural-network quantum-state study of the long-range antiferromagnetic Ising chain" is published on Physical Review E. One can reproduce the results with this code.

Neural network ansatz to approximate a ground state by using variational Monte Carlo (VMC)

Required compilers

• c++11 or higher
• CUDA 10.x.x or higher

Build reciepe 1 [C++ or CUDA]

mkdir build
cd build
cmake ../ -DUSE_CUDA=TRUE # <- use this flag to run a gpu device.

Build reciepe 2 [Python-CUDA]

# One can import 'pynqs' module. The examples are listed in './python' folder.
python3 ./setup.py build
export PYTHONPATH=$(pwd)/python:$PYTHONPATH

Bug report

When you encounter bugs or problems by using this code, please let us know through the email address as following.
[email protected]

Reference

1. G. Carleo and M. Troyer, Solving the quantum many-body problem with artificial neural networks, Science 355, 602 (2017). arXiv link