My personal quantum paper library

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

Optical Transfer Learning

Double Descent Curve with Optical Random Features

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

Code to perform Model-Free Episodic Control using Aurora OPUs

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

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

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

Photonics Guide

Dual adaptive training of photonic neural networks

Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021

Repository of the package Fast Wave

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

RCWA Solver

This is a transaction-level, event-driven python-based simulator for evaluation of stochastic computing based optical neural network accelerators for various quantized Convolutional Neural Network models. This can generate metrics of an accelerator like latency, area, energy consumption and power

3D Plane Wave Expansion

OPICS : An S-parameter based photonic circuit simulator