Nanophotonic spiking neural networks (SNNs) based on neuron-like excitable
subwavelength (submicrometre) devices are of key importance for realizing brain-inspired …

Excitable optoelectronic devices represent one of the key building blocks for implementation
of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This work …

Optical quantum information science and technologies require the capability to generate,
control, and detect single or multiple quanta of light. The need to detect individual photons …

This work reports a nanostructure resonant tunnelling diode-photodetector (RTD-PD) device
and demonstrates its operation as a controllable, optically-triggered excitable spike …

We examine the resonant tunneling properties of the laser-dressed hyperbolic Pöschl-Teller
double quantum barrier structure. We use the non-equilibrium Green's function method to …

A solution to the problem of resonant tunneling current saturation is proposed. This problem
does not allow, within the traditional compact models, a correct qualitative and quantitative …

We report an optoelectronic neuromorphic synaptic link built with high-speed nanoscale
resonant tunnelling diode-photodetectors (RTD-PDs), which reproduces temporal-coded …

Optical quantum information science and technologies require the capability to generate,
control, and detect single or multiple quanta of light. The need to detect individual photons …

Event-activated biological-inspired subwavelength (sub-λ) optical neural networks are of
paramount importance for energy-efficient and high-bandwidth artificial intelligence (AI) …

This thesis describes the research work on double barrier quantum well (DBQW) resonant
tunneling diode (RTD) based optoelectronic transmitters and receivers, focused on the …