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07/13/2023
Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing
We quantify the impact of thermo-optic and free-carrier effects on time-...
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05/15/2023
Data-Driven Modeling of Directly-Modulated Lasers
The end-to-end optimization of links based on directly-modulated lasers ...
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11/29/2022
Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission
We propose spectrum-sliced reservoir computer-based (RC) multi-symbol eq...
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11/29/2022
Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning
We demonstrate transfer learning-assisted neural network models for opti...
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11/08/2022
Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning
End-to-end learning has become a popular method to optimize a constellat...
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10/17/2022
Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers
Photonic integrated circuits are facilitating the development of optical...
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09/26/2022
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
We experimentally validate a real-time machine learning framework, capab...
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06/13/2022
Flexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model
The problem of Raman amplifier optimization is studied. A differentiable...
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01/27/2022
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels
The optical fiber multiple-input multiple-output (MIMO) channel with int...
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11/23/2021
Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs
We experimentally compare simple physics-based vs. data-driven neural-ne...
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06/07/2021
SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure
Throughput optimization of optical communication systems is a key challe...
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09/11/2020
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling
Cascades of a machine learning-based EDFA gain model trained on a single...
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09/11/2020
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices
We report a neural-network based erbium-doped fiber amplifier (EDFA) gai...
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05/25/2020
Probabilistically Shaped 4-PAM for Short-Reach IM/DD Links with a Peak Power Constraint
Probabilistic shaping for intensity modulation and direct detection (IM/...
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03/18/2018
