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Neural Quantum States for the classical simulation of Quantum Circuits

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NQS is built on top of NetKet for the classical simulation of Quantum Circuits using Restricted Boltzmann machines. It is a Python library built on C++ primitives.

Usage

The code is written in C++ and utilizes MPI to allow fast execution. A Python interface is provided through PyBind. You can either clone this repository and install the sources on your own using:

    git clone https://github.com/stubbi/nqs.git
    cd nqs
    python setup.py install

Important: The code is currently optimized for the skylake-avx512 architecture. In order to change that, replace the compiler arguments in the CmakeLists.txt.

There is also the alternative to use the Singularity Container which has the package preinstalled and run your scripts inside them. For this, you need to have singularity installed on your machine:

    singularity pull shub://stubbi/nqs

Afterwards, you can simply add nqs as a dependency to your python project:

import nqs

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Neural Quantum States for the classical simulation of Quantum Circuits

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  • C++ 81.1%
  • Python 13.1%
  • CMake 5.8%