Simulating a perceptron on a quantum computer

Understand

Perceptrons are the basic computational unit of artificial neural networks, as they model the activation mechanism of an output neuron due to incoming signals from its neighbours.

• As linear classifiers, they play an important role in the foundations of machine learning.
• In the context of the emerging field of quantum machine learning, several attempts have been made to develop a corresponding unit using quantum information theory.
• Based on the quantum phase estimation algorithm, this paper introduces a quantum perceptron model imitating the step-activation function of a classical perceptron.