Photonic neural networks based on integrated silicon microresonators
Recent progress in artificial intelligence (AI) has boosted the computational possibilities in
fields in which standard computers are not able to perform adequately. The AI paradigm is to …
fields in which standard computers are not able to perform adequately. The AI paradigm is to …
Multi-stage spontaneous symmetry breaking of light in Kerr ring resonators
Symmetry breaking of light states is of interest for the understanding of nonlinear optics,
photonic circuits, telecom applications and optical pulse generation. Here we demonstrate …
photonic circuits, telecom applications and optical pulse generation. Here we demonstrate …
Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network
A small 4-channel time-delayed complex perceptron is used as a silicon photonic neural
network (PNN) device to compensate for chromatic dispersion in optical fiber links. The PNN …
network (PNN) device to compensate for chromatic dispersion in optical fiber links. The PNN …
[HTML][HTML] An array of microresonators as a photonic extreme learning machine
Machine learning technologies have found fertile ground in optics due to their promising
features based on speed and parallelism. Feed-forward neural networks are one of the most …
features based on speed and parallelism. Feed-forward neural networks are one of the most …
Thermal modeling of hybrid three-dimensional integrated, ring-based silicon photonic–electronic transceivers
Co-packaged optics for high performance computing or other data center applications
requires dense integration of silicon photonic integrated circuits (PICs) with electronic …
requires dense integration of silicon photonic integrated circuits (PICs) with electronic …
Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits
I Teofilovic, A Cem, D Sanchez-Jacome… - arXiv preprint arXiv …, 2024 - arxiv.org
Photonic integrated circuits play an important role in the field of optical computing, promising
faster and more energy-efficient operations compared to their digital counterparts. This …
faster and more energy-efficient operations compared to their digital counterparts. This …
Editor's challenge in optics and photonics: Advancing electronics with photonics
L Pavesi - Frontiers in Physics, 2023 - frontiersin.org
Photonics has the potential to significantly enhance electronics in various areas such as
computing and communications [1]. By using photons as the information carrier rather than …
computing and communications [1]. By using photons as the information carrier rather than …
A time-delay reservoir computing neural network based on a single microring resonator with external optical feedback
G Donati - 2023 - dspace.uib.es
[eng] Artificial intelligence is a new paradigm of information processing where machines
emulate human intelligence and perform tasks that cannot be done with standard …
emulate human intelligence and perform tasks that cannot be done with standard …
Physics-informed machine learning for programmable photonic circuits
Integrated photonic circuits offer a promising platform to implement matrix-vector
multiplication in optical feedforward neural networks. The most common implementations …
multiplication in optical feedforward neural networks. The most common implementations …
Optimization of 3x3 neuromorphic photonic network for programmable Boolean operations
We propose a methodology to analyze a 3× 3 Mach-Zenhder-based neuromorphic optical
network used as a programmable logic gate. The investigated approach starts from the …
network used as a programmable logic gate. The investigated approach starts from the …