Abstract:
Motivated by the fact that biological neuron change its content in time and the dynamics of a neuron with internal state can mimic neuronal behaviour such as chaos and bi...Show MoreMetadata
Abstract:
Motivated by the fact that biological neuron change its content in time and the dynamics of a neuron with internal state can mimic neuronal behaviour such as chaos and bifurcation, neural networks composed of classical artificial neuron models that consider internal information modification after their operation, were introduced in the 90’s. Here we study a quantum version of these networks. We introduced the quantum perceptron with internal memory state that can be changed during the neuron execution. For that, we use the quantum perceptron which reproduces the step function of the inner product between input and weights and extend it with a memory that can be updated during its own execution.
Date of Conference: 08-13 July 2018
Date Added to IEEE Xplore: 14 October 2018
ISBN Information:
Electronic ISSN: 2161-4407