Optoelectronic Quantum Capacitors for Configurable Neural Photonic Networks

Publication date: 5 Mag 2019

ConferenceSource: LEGACY

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.

Publisher
IEEE
Origin
2019 Conference on Lasers and Electro-Optics (CLEO)
Legacy ID
30ece83a244198ae1a05d5b9e550eb93
Biblio references
Pages: 1-2