Abstract

An optically-controlled quantum capacitor is described as a memristive behaving neuron in a crossbar neural network. Specifically, activation value, weight, and bias for each neuron are dynamically controlled with light intensity, applied gate voltage, and a sampling frequency, respectively; therefore, it provides a programmable capacitive neural network with dynamic configurability.

© 2019 The Author(s)