Optical computing with supercontinuum generation in photonic crystal fibers
We introduce a novel photonic neural network using photonic crystal fibers, leveraging
femtosecond pulse supercontinuum generation for optical computing. Investigating its …
femtosecond pulse supercontinuum generation for optical computing. Investigating its …
Optical computing with multimode fiber nonlinearities
A novel optical computing framework is presented by harnessing spatiotemporal nonlinear
effects of multimode fibers for machine learning. With linear and nonlinear interactions of …
effects of multimode fibers for machine learning. With linear and nonlinear interactions of …
Integrated photonic neural networks: opportunities and challenges
Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …
Simultaneous temporal and spectral evolution of ultrafast optical pulse propagation using a single bidirectional LSTM network
GR Martins, LCB da Silva, MEV Segatto… - Optical Fiber …, 2024 - Elsevier
Numerical simulations of optical pulse evolution are often a cumbersome task, mostly due to
the presence of nonlinearities, and standard numerical approaches like splitting methods …
the presence of nonlinearities, and standard numerical approaches like splitting methods …
Nonlinear Processing with Linear Optics
Deep neural networks have achieved remarkable breakthroughs by leveraging multiple
layers of data processing to extract hidden representations, albeit at the cost of large …
layers of data processing to extract hidden representations, albeit at the cost of large …
Photonic extreme learning machine by free-space optical propagation
Photonic brain-inspired platforms are emerging as novel analog computing devices,
enabling fast and energy-efficient operations for machine learning. These artificial neural …
enabling fast and energy-efficient operations for machine learning. These artificial neural …
Smart Nonlinear Photonics: From On-chip Pulse Processing to Tailored Nonlinear Fiber Propagation
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Smart
Nonlinear Photonics: From On-chip Pulse Processing to Tailored Nonlinear Fiber Propagation …
Nonlinear Photonics: From On-chip Pulse Processing to Tailored Nonlinear Fiber Propagation …
Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network
The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …
of light sources and photonic technologies, with applications from fundamental studies of …
Rethinking deep learning for supercontinuum: Efficient modeling based on integrated and compressed networks
Q Xu, H Yang, X Yuan, L Huang, H Yang… - Chaos, Solitons & …, 2024 - Elsevier
To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …
optical fibers, an integrated deep learning model was constructed in this study, fully …
11 Tera-FLOP per second photonic convolutional accelerator for deep learning optical neural networks
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a
powerful category of artificial neural networks that can extract the hierarchical features of raw …
powerful category of artificial neural networks that can extract the hierarchical features of raw …