Pattern capacity of a single quantum perceptron

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.

arXiv comment18 pages, 3 figures

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Cited by in corpus (4)

• Quantum associative memory with a single driven-dissipative nonlinear oscillator
• Optimal storage capacity of quantum Hopfield neural networks
• On the capacity of a quantum perceptron for storing biased patterns
• Pseudo quantum advantages in perceptron storage capacity