GuoqingMa-SIOM

cs217.github.io

Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University

QNET

Computer algebra package for quantum mechanics and photonic quantum networks

Photonic-Integrated-Circuits

Jupyter Notebooks for EDX course Photonic Integrated Circuits

DEAP

A tool for mapping and simulating convolutions using ultrafast photonics

photonflow

PhotonFlow: A design methodology and tool for design and simulation of photonic neural networks

strawberryfields-1

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

SiEPIC_EBeam_PDK

SiEPIC EBeam PDK & Library for KLayout

opics

Photonic circuit simulator

photonic_lattice

Photonics-Guide

Photonics Guide

SiPANN

Artifical Neural Networks for use with Quantum Photonics

SLM_hologram_generation

Python program that generates the hologram of a phase-only SLM to produce a desired (phase and amplitude) mode profile, as described in https://arxiv.org/pdf/2005.01561

slm-cg

Spatial light modulator phase calculation by conjugate gradient minimisation

otslm

OTSLM Toolbox for Structured Light Methods

Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

netron

Visualizer for neural network, deep learning and machine learning models

My-First-CUDA-Code

The introduction to cuda, a simple and easy cuda project

linopt

Linear optics circuit calculator

QuantOpt-linear-transformation-decomposition

MATLAB code implementing the decomposition presented in the article 'Quantum optical realization of arbitrary linear transformations allowing for loss and gain' by Tischler, Rockstuhl, and Słowik. The main file is 'GeneralTransformationSolver.m', all other files are (potentially) called within.

SmartGlass

SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classifier (e.g. classify hand-written digits MNIST dataset). Besides, the framework can also be used to design optics based on a task like focusing and beam steering. However, custom object functions should be defined. Besides training the optics, the SG also supports training the detectors using gradient-free optimization.

ScaDec-deep-learning-diffractive-tomography

Efficient and accurate inversion of multiple scattering with deep learning

using-U-net-to-restore-reconstruct-Fresnel-diffraction-images

I use U-net to reconstruct the fresnel diffraction images.

all-optical-neural-networks

Supporting code for "End-to-end optical backpropagation for training neural networks".

ONNet

Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation

angler

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

maxwellfdfd

MATLAB-based solver package of Maxwell's equations by the FDFD method

nanophotonic_neural_inference

PyFEM

A Python finite element code

Multilevel-Diffractive-Optics-Design

Repository for "Multilevel Diffractive Optics Design".

lightonml

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