Solgaard Lab

We maintain our simulation and fabrication code for photonic computing.

Stanford University

Pinned Repositories

APT_Piezo
Python implementation for communications with the Thorlabs APT range of stage controllers
Language:Python3 1 00
dphox
Language:Python18 2 23
dphox-notebooks
Notebooks for dphox tutorials
Language:Jupyter Notebook2 2 00
lasereq
A simple tool to visualize laser dynamics based on the rate equations
Language:Python4 2 01
neurophox
A simulation framework for unitary neural networks and photonic devices
Language:Python102 16 733
neurophox-notebooks
Notebook examples for the neurophox repository
Language:Jupyter Notebook19 8 211
photonicbackprop
Data and code for the paper "Experimentally realized \textit{in situ} backpropagation for deep learning in energy-efficient nanophotonic neural networks"
Language:Jupyter Notebook6 1 13
photoniccrypto
Data and code for "Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency"
Language:Jupyter Notebook2 1 00
phox
Base repository for simulation and control of photonic devices
Language:Python12 1 03
RUM-Tensorflow
Rotational Unit of Memory
Language:Python0 3 00

solgaardlab/neurophox
A simulation framework for unitary neural networks and photonic devices
Language:Python102 16 733
solgaardlab/neurophox-notebooks
Notebook examples for the neurophox repository
Language:Jupyter Notebook19 8 211
solgaardlab/dphox
Language:Python18 2 23
solgaardlab/phox
Base repository for simulation and control of photonic devices
Language:Python12 1 03
solgaardlab/photonicbackprop
Data and code for the paper "Experimentally realized \textit{in situ} backpropagation for deep learning in energy-efficient nanophotonic neural networks"
Language:Jupyter Notebook6 1 13
solgaardlab/lasereq
A simple tool to visualize laser dynamics based on the rate equations
Language:Python4 2 01
solgaardlab/APT_Piezo
Python implementation for communications with the Thorlabs APT range of stage controllers
Language:Python3 1 00
solgaardlab/dphox-notebooks
Notebooks for dphox tutorials
Language:Jupyter Notebook2 2 00
solgaardlab/photoniccrypto
Data and code for "Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency"
Language:Jupyter Notebook2 1 00
solgaardlab/RUM-Tensorflow
Rotational Unit of Memory
Language:Python0 3 00
solgaardlab/xevacam
Xevacam Python 3 package is for controlling and capturing image stream from a Xenics XEVA-196 or similar camera. The camera is capable of capturing wider electromagnetic spectrum than a normal camera.
Language:Python1 0