1 citations · 1 across the 6 of their papers we have counts for
6 papers
Self-organizing Architecture of Receptron Units: a Hardware-Aware Framework for Edge Intelligence
Stefano Radice, Ludovico Casaccia, Riccaro Emanuele Beccalli +2
The growing demand for intelligent processing at the edge of IoT networks is constrained by the severe computational and memory limitations of microcontroller units, which render i…
Measuring spatial coherence of quantum and classical light with an ultrastable monolithic interferometer
Edoardo Suerra, Mirko Siano, Bruno Paroli +4
We describe a monolithic interferometer for spatial coherence measurements of both classical and quantum light sources. The design combines parametric down-conversion with a therma…
The receptron is a nonlinear threshold logic gate with intrinsic multi-dimensional selective capabilities for analog inputs
B. Paroli, F. Borghi, M. A. C. Potenza +1
Threshold logic gates (TLGs) have been proposed as artificial counterparts of biological neurons with classification capabilities based on a linear predictor function combining a s…
Local discrimination of orbital angular momentum in entangled states
Simone Cialdi, Edoardo Suerra, Samuele Altilia +5
We address the use of a calcite crystal-based local detector to the discrimination of orbital angular momentum of quantum radiation produced by parametric down conversion. We demon…
A monolithic interferometer for high-sensitive strictly-local detection of orbital angular momentum states of light
Mirko Siano, Bruno Paroli, Simone Cialdi +4
We propose an innovative monolithic interferometer to distinguish the topological charge of radiation carrying orbital angular momentum. Remarkably, our method requires to access o…
Solving classification tasks by a receptron based on nonlinear optical speckle fields
B. Paroli, G. Martini, M. A. C. Potenza +3
Among several approaches to tackle the problem of energy consumption in modern computing systems, two solutions are currently investigated: one consists of artificial neural networ…