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\begin{document}

\title{On a quantum inspired approach to train machine learning models}



\author[1]{Jean Michel Sellier}%
\affil[1]{Ericsson}%


\vspace{-1em}



  
  \date{May 23, 2024}


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\begin{abstract}
In this work, a novel technique to train machine learning models is
introduced, which is based on digital simulations of certain types of
quantum systems. This represents a drastic departure from the standard
approach which, to these days, is based on the use of actual physical
quantum systems. Thus, to provide a clear context, a proper introduction
to the field of quantum machine learning is first provided. Then, we
proceed with a detailed description of our proposed method. To conclude,
some preliminary, yet compelling, results are presented and discussed.
Although at a seminal stage, the author firmly believes that this
approach could represent a valid and robust alternative to the way
machine learning models are trained today.%
\end{abstract}%



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