Pattern capacity of a single quantum perceptron
Quantum Physics
2022-05-31 v2 Disordered Systems and Neural Networks
Abstract
Recent developments in Quantum Machine Learning have seen the introduction of several models to generalize the classical perceptron to the quantum regime. The capabilities of these quantum models need to be determined precisely in order to establish if a quantum advantage is achievable. Here we use a statistical physics approach to compute the pattern capacity of a particular model of quantum perceptron realized by means of a continuous variable quantum system.
Cite
@article{arxiv.2112.10115,
title = {Pattern capacity of a single quantum perceptron},
author = {Fabio Benatti and Giovanni Gramegna and Stefano Mancini},
journal= {arXiv preprint arXiv:2112.10115},
year = {2022}
}
Comments
18 pages, 3 figures