Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

[SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference

Python library for running large-scale computations on LightOn's OPUs

Double Descent Curve with Optical Random Features

Optical Transfer Learning

ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.

[Long Term Support] [SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference

Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)

Double Trouble in the Double Descent Curve with Optical Processing Units.

Repository of the package Fast Wave

Dual adaptive training of photonic neural networks

RCWA Solver

Linear Optical Circuits Optimisation using Perceval Quandela and Variational Algorithm (VQE)- MIT iQuHack- Quantum Computing Project

Simple optical neural network training/converting experiments based on numpy API

A MZI mesh with reconfigurable phase shifters can can have numerous combinations of the phase shifters' phases for the same set of input and outputs. A python code for a 4X4 MZI mesh returning the minimum cost path for a given input and output combination.

Photonic-inspired reservoir computing for signal classification

Matlab simulation for an high-order all-optical differential equation solver based on microring resonators

Automated Probe Station for testing Photonic Integrated Circuits

I'll help you develop a tool to optimize and analyze photosynthetic electron transport using the Open-Closed Redox Model. This looks like an advanced scientific project involving PAM fluorometry data analysis and model optimization.