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Numerically represent quantum states with Restricted Boltzmann Machines

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neural-quantum-states

Course assignment

Consider the approach of representing the quantum states of a spin system as states of a Restricted Boltzmann Machine and create Coursework report.

Programming part

Modified code from G. Carleo & Emily Davis, Kevin Fischer, and Alex Hristov using pybind11 and tensorflow.

############################ COPYRIGHT NOTICE ##################################

Code provided by G. Carleo and M. Troyer, written by G. Carleo, December 2016.

Permission is granted for anyone to copy, use, modify, or distribute the accompanying programs and documents for any purpose, provided this copyright notice is retained and prominently displayed, along with a complete citation of the published version of the paper:

 ______________________________________________________________________________
| G. Carleo, and M. Troyer                                                     |
| Solving the quantum many-body problem with artificial neural-networks        |
|______________________________________________________________________________|

The programs and documents are distributed without any warranty, express or implied.

These programs were written for research purposes only, and are meant to demonstrate and reproduce the main results obtained in the paper.

All use of these programs is entirely at the user's own risk.

################################################################################

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