Activation energy of passive optical devices

Here, we demonstrate a compact and readily integrated all-optical nonlinear activation function, experimentally realized through highly pump-depleted second-harmonic generation (SHG) in periodically p...

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Passive All-Optical Nonlinear Neuron Activation via PPLN

In this work, we experimentally demonstrate, for the first time, a passive chip-based all-optical nonlinear activation function with a sigmoid-like response, completely free from external

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Passive all-optical nonlinear neuron activation via PPLN

Here, we demonstrate a compact and integrated all-optical nonlinear activation method, experimentally realized through strong second-order optical nonlinearities in periodically poled lithium

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Optimization and inverse design of optical activation functions based

In this work, we propose a method to generate 14 different activation functions with various parameters using neural networks, aimed at optimally designing the performance parameters of two

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Passive all-optical nonlinear neuron activation via PPLN nanophotonic

Researchers in Singapore have demonstrated a passive, ultrafast, and integration-ready all-optical nonlinear activation function using thin-film lithium-niobate nanowaveguides.

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Passive All-Optical Nonlinear Neuron Activation via PPLN

Here, we demonstrate a compact and readily integrated all-optical nonlinear activation function, experimentally realized through highly pump-depleted second-harmonic generation (SHG) in...

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Femto-joule threshold reconfigurable all-optical nonlinear activators

Achieving optical computing with thousands of tera-operations per second per watt per square millimeter (TOPs/W/mm 2) is the key to surpassing electrical computing. This realization

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Review of nonlinear activation functions in optical neural networks

In this work, we first introduced several methods for implementing optical nonlinear activation functions. We then propose approaches for measuring their activation curves and

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All-optical ultrafast nonlinear activation functions for deep learning

An all-optical, ultrafast, and energy-efficient nonlinear activation function is yet to be demonstrated to unlock the full capabilities of ONNs. Such a function should also be compact, highly...

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Energy-efficient bandwidth and wavelength allocation in HS-PONs

In higher-speed passive optical networks (HS-PONs), an upstream dedicated activation wavelength (DAW) is introduced to eliminate the latency caused by periodically creating quiet windows (i.e., time

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