Quantum-Assisted Restricted Boltzmann Machine Training Framework
This package provides a framework for training Restricted Boltzmann Machines (RBMs) via classical algorithms (Contrastive Divergence and Persistent Contrastive Divergence) and quantum-assisted methods, which involve the use of Quantum Samplimg.
Using the QUBO.jl package, this package allows training RBMs using different quantum computers and simulators and converting continuous visible nodes to binary visible nodes seamlessly.
] add www.github.com/NITeQ/QARBoM.jlFor more information on how to install and use the package, please refer to the documentation.