  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.
