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Found 8 papers, 0 papers with code
End-to-End Optimization of Directly Modulated Laser Links using Chirp-Aware Modeling
The rate and reach of directly-modulated laser links is often limited by the interplay between chirp and fiber chromatic dispersion.
End-to-end Optimization of Optical Communication Systems based on Directly Modulated Lasers
We propose a novel end-to-end optimization approach for DML systems, incorporating the learning of bias and peak-to-peak modulation current to the optimization of constellation points, pulse shaping and equalization.
Wavelength-multiplexed Delayed Inputs for Memory Enhancement of Microring-based Reservoir Computing
We numerically demonstrate a silicon add-drop microring-based reservoir computing scheme that combines parallel delayed inputs and wavelength division multiplexing.
Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
Among the promising advantages of photonic computing over conventional computing architectures is the potential to increase computing efficiency through massive parallelism by using the many degrees of freedom provided by photonics.
Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
Microring resonators (MRRs) are promising devices for time-delay photonic reservoir computing, but the impact of the different physical effects taking place in the MRRs on the reservoir computing performance is yet to be fully understood.
Differentiable Machine Learning-Based Modeling for Directly-Modulated Lasers
End-to-end learning has become a popular method for joint transmitter and receiver optimization in optical communication systems.
Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing
We quantify the impact of thermo-optic and free-carrier effects on time-delay reservoir computing using a silicon microring resonator.
Data-Driven Modeling of Directly-Modulated Lasers
The end-to-end optimization of links based on directly-modulated lasers may require an analytically differentiable channel.
