[HTML][HTML] A photonics perspective on computing with physical substrates
We provide a perspective on the fundamental relationship between physics and
computation, exploring the conditions under which a physical system can be harnessed for …
computation, exploring the conditions under which a physical system can be harnessed for …
AI meets physics: a comprehensive survey
Uncovering the mechanisms of physics is driving a new paradigm in artificial intelligence
(AI) discovery. Today, physics has enabled us to understand the AI paradigm in a wide …
(AI) discovery. Today, physics has enabled us to understand the AI paradigm in a wide …
Design and analysis of carrier reservoir SOA based 2× 1 MUX with enable input and implementing basic logic gates using MUX at 120 Gb/s
In this paper, carrier reservoir semiconductor optical amplifiers (CR-SOAs) are utilized for
the first time in designing an all-optical 2× 1 multiplexer with enable function, operating at …
the first time in designing an all-optical 2× 1 multiplexer with enable function, operating at …
Silicon integrated photonic-electronic neuron for noise-resilient deep learning
This paper presents an experimental demonstration of the photonic segment of a photonic-
electronic multiply accumulate neuron (PEMAN) architecture, employing a silicon photonic …
electronic multiply accumulate neuron (PEMAN) architecture, employing a silicon photonic …
Scaling photonic neural networks: A silicon photonic GeMM leveraging a Time-Space multiplexed Xbar
S Kovaios, I Roumpos, M Moralis-Pegios… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
We demonstrate a silicon photonic Xbar-based general matrix multiplier (Xbar GeMM) for
optical neural network (NN) applications, utilizing a hybrid time-space multiplexing scheme …
optical neural network (NN) applications, utilizing a hybrid time-space multiplexing scheme …
10 GHz Optoelectronic Circuit with Variable Sigmoid Shaped Activation Function for Photonic Neural Networks
T Chrysostomidis, I Roumpos… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
This paper introduces an opto-electronic and opto-electronic-opto circuit capable of
generating a Sigmoid shaped non-linear activation function (NLAF) for photonic neural …
generating a Sigmoid shaped non-linear activation function (NLAF) for photonic neural …
[PDF][PDF] Reviews in Physics
S Abreu, I Boikov, M Goldmann, T Jonuzi… - Reviews in …, 2024 - photonics.intec.ugent.be
We provide a perspective on the fundamental relationship between physics and
computation, exploring the conditions under which a physical system can be harnessed for …
computation, exploring the conditions under which a physical system can be harnessed for …
An All-Optical General-Purpose CPU and Optical Computer Architecture
M Kissner, L Del Bino, F Päsler, P Caruana… - arXiv preprint arXiv …, 2024 - arxiv.org
Energy efficiency of electronic digital processors is primarily limited by the energy
consumption of electronic communication and interconnects. The industry is almost …
consumption of electronic communication and interconnects. The industry is almost …
A 160 TOPS Multi-dimensional AWGR-based accelerator for Deep Learning
We experimentally demonstrate a novel time-space-wavelength multiplexed AWGR-based
photonic tensor multiplier that provides a total computational power of 163.8 TeraOP …
photonic tensor multiplier that provides a total computational power of 163.8 TeraOP …
Optics-informed neural networks towards accelerating linear operations
A Tsakyridis, M Moralis-Pegios… - Optical …, 2024 - spiedigitallibrary.org
The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …