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.