Optical neural networks: progress and challenges
Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …
data resources, advanced algorithms, and high-performance electronic hardware. However …
Photonics for Neuromorphic Computing: Fundamentals, Devices, and Opportunities
R Li, Y Gong, H Huang, Y Zhou, S Mao… - Advanced …, 2024 - Wiley Online Library
In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are
becoming predominant: the exponential growth of large AI model sizes and the explosion of …
becoming predominant: the exponential growth of large AI model sizes and the explosion of …
Fully forward mode training for optical neural networks
Optical computing promises to improve the speed and energy efficiency of machine learning
applications,,,,–. However, current approaches to efficiently train these models are limited by …
applications,,,,–. However, current approaches to efficiently train these models are limited by …
[HTML][HTML] Roadmap on photonic metasurfaces
Here we present a roadmap on Photonic metasurfaces. This document consists of a number
of perspective articles on different applications, challenge areas or technologies underlying …
of perspective articles on different applications, challenge areas or technologies underlying …
Freeform direct-write and rewritable photonic integrated circuits in phase-change thin films
Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities
promise revolutionary impacts on a plethora of photonic technologies. We report direct-write …
promise revolutionary impacts on a plethora of photonic technologies. We report direct-write …
Recent progress in silicon‐based photonic integrated circuits and emerging applications
In recent years, with the further ministration of the semiconductor device in integrated
circuits, power consumption and data transmission bandwidth have become insurmountable …
circuits, power consumption and data transmission bandwidth have become insurmountable …
Large-scale error-tolerant programmable interferometer fabricated by femtosecond laser writing
I Kondratyev, V Ivanova, S Fldzhyan… - Photonics …, 2024 - opg.optica.org
We introduce a programmable eight-port interferometer with the recently proposed error-
tolerant architecture capable of performing a broad class of transformations. The …
tolerant architecture capable of performing a broad class of transformations. The …
Redundancy-free integrated optical convolver for optical neural networks based on arrayed waveguide grating
S Zhang, H Zhou, B Wu, X Jiang, D Gao, J Xu… - Nanophotonics, 2024 - degruyter.com
Optical neural networks (ONNs) have gained significant attention due to their potential for
high-speed and energy-efficient computation in artificial intelligence. The implementation of …
high-speed and energy-efficient computation in artificial intelligence. The implementation of …
Quantum-secure multiparty deep learning
K Sulimany, SK Vadlamani, R Hamerly… - arXiv preprint arXiv …, 2024 - arxiv.org
Secure multiparty computation enables the joint evaluation of multivariate functions across
distributed users while ensuring the privacy of their local inputs. This field has become …
distributed users while ensuring the privacy of their local inputs. This field has become …
Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation
On-chip photonic processors for neural networks have potential benefits in both speed and
energy efficiency but have not yet reached the scale at which they can outperform electronic …
energy efficiency but have not yet reached the scale at which they can outperform electronic …