Code for CS F376 Design Project, Semester II 2021-22 on predicting quantum potentials using neural networks.
This repository is currently a work in progress
pytorch==1.7.1
.
├── src
│ ├── models # Neural network architectures
│ ├── systems # Implemented quantum systems
│ ├── utils # Helper/Accessory classes and functions
│ ├── train.py # Training loop
│ ├──__init__.py
└── README.md
[1] R. Hong, P.-F. Zhou, B. Xi, J. Hu, A.-C. Ji, and S.-J. Ran, "Predicting quantum potentials by deep neural network and metropolis sampling," SciPost Physics Core, vol. 4, no. 3, Sep. 2021, doi: 10.21468/scipostphyscore.4.3.022.
[2] A. Snehanobish, H. Corzo, O. Kara, and D. van Dijk, “Learning Potentials of Quantum Systems using Deep Neural Networks,” arXiv: 2006.13297, Jan. 2021.