Photonic Neural Network

Photonic neural networks (PNNs) leverage the speed and energy efficiency of light to perform computations, aiming to surpass electronic counterparts in artificial intelligence applications. Current research focuses on optimizing PNN architectures, including diffractive and interference-based networks, and developing efficient training algorithms like asymmetrical training and dual adaptive training to mitigate systematic errors inherent in photonic implementations. These advancements address challenges in feature representation, scalability, and noise tolerance, paving the way for more compact, energy-efficient, and accurate PNNs for various machine learning tasks, such as image classification and molecular property prediction.

Papers

November 8, 2024

Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network
Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu
Neural Network Photonic Device Photonic Neural Network Composable Framework Diffractive Optical Network

June 26, 2024

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso, Mateus Vidaletti Costa, Mohab Abdalla, Ian O'Connor, Alberto Bosio, Fabio Pavanello
Global Impact Feature Representation Photonic Device Photonic Neural Network Iris Image

May 28, 2024

Asymmetrical estimator for training encapsulated deep photonic neural networks
Yizhi Wang, Minjia Chen, Chunhui Yao, Jie Ma, Ting Yan, Richard Penty, Qixiang Cheng
Gray Box Photonic Neural Network Physical Neural Network Asymmetric Learning Physical Computing

February 27, 2024

Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation
Tatsuhiro Onodera, Martin M. Stein, Benjamin A. Ash, Mandar M. Sohoni, Melissa Bosch, Ryotatsu Yanagimoto, Marc Jankowski, Timothy P. McKenna, Tianyu Wang, Gennady Shvets, Maxim R. Shcherbakov, Logan G. Wright, Peter L. McMahon
Photonic Neural Network Photonic Circuit Photonic Chip Photonic Processor

December 19, 2023

Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach
Marina Zajnulina, Alessandro Lupo, Serge Massar
System Performance Extreme Learning Machine Photonic Neural Network Layered Approach Readout Model Kerr Nonlinearity

December 13, 2023

\emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike \emph{sign} perceptrons neural networks
Mihailo Stojnic
Neural Network Photonic Neural Network Capacity Analysis Memorization Capability Capacity Characterization Random Duality Theory

October 2, 2023

Non-negative isomorphic neural networks for photonic neuromorphic accelerators
Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas
Neuromorphic Hardware Photonic Neural Network Non Negative Neuromorphic Photonic

August 7, 2023

February 16, 2023

Photonic Neural Networks: A Compact Review
Mohammad Ahmadi, Hamidreza Bolhasani
Embracing CompAct Optical Communication Photonic Device Photonic Neural Network New Scientific

February 15, 2023

Ultrafast single-channel machine vision based on neuro-inspired photonic computing
Tomoya Yamaguchi, Kohei Arai, Tomoaki Niiyama, Atsushi Uchida, Satoshi Sunada
Photonic Neural Network High Speed Imaging Photonic Reservoir Photonic Processor

December 20, 2022

Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation
Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse
Reinforcement Learning Multi Agent Reinforcement Learning Best View Photonic Neural Network Bandit Model Multi Agent Q Learning

December 9, 2022

Dual adaptive training of photonic neural networks
Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, Xing Lin
Neural Network Large Scale Catastrophic Interference Photonic Neural Network Adaptive Training

November 30, 2022

Optical multi-task learning using multi-wavelength diffractive deep neural networks
Zhengyang Duan, Hang Chen, Xing Lin
Neural Network Photonic Neural Network

October 14, 2022

AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks
Vivswan Shah, Nathan Youngblood
Modular Framework Analog Neural Network Photonic Neural Network Neuromorphic Photonic

September 26, 2022

Optical Neural Ordinary Differential Equations
Yun Zhao, Hang Chen, Min Lin, Haiou Zhang, Tao Yan, Xing Lin, Ruqi Huang, Qionghai Dai
Neural ODE Photonic Neural Network

August 28, 2022

Scalable Nanophotonic-Electronic Spiking Neural Networks
Luis El Srouji, Yun-Jhu Lee, Mehmet Berkay On, Li Zhang, S. J. Ben Yoo
Spiking Neural Network Photonic Device Photonic Neural Network Synaptic Connectivity Silicon Photonics Chip Learning

July 22, 2022

Characterizing Coherent Integrated Photonic Neural Networks under Imperfections
Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty
DNN Accuracy Photonic Neural Network Optical Matrix

May 17, 2022

Photonic Neural Network

Papers

Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks

Asymmetrical estimator for training encapsulated deep photonic neural networks

Scaling on-chip photonic neural processors using arbitrarily programmable wave propagation

Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach

\emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike \emph{sign} perceptrons neural networks

Non-negative isomorphic neural networks for photonic neuromorphic accelerators

Spatially Varying Nanophotonic Neural Networks

Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks

Photonic Neural Networks: A Compact Review

Ultrafast single-channel machine vision based on neuro-inspired photonic computing

Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation

Dual adaptive training of photonic neural networks

Optical multi-task learning using multi-wavelength diffractive deep neural networks

AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks

Optical Neural Ordinary Differential Equations

Scalable Nanophotonic-Electronic Spiking Neural Networks

Characterizing Coherent Integrated Photonic Neural Networks under Imperfections

All-Photonic Artificial Neural Network Processor Via Non-linear Optics

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks