Code to perform Model-Free Episodic Control using Aurora OPUs

Photonics Guide

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

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

Double Descent Curve with Optical Random Features

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

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

OPICS : An S-parameter based photonic circuit simulator

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

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.

3electron Quantum Operators in Eigenspectral basis

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

Automated Probe Station for testing Photonic Integrated Circuits

Optical Transfer Learning

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

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

Dual adaptive training of photonic neural networks

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

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