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Quantum Neural Networks ⭐ 156

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

Photontorch ⭐ 34

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

Prediction of fabrication variations in integrated photonic devices using deep learning

Analogvnn ⭐ 14

A fully modular framework for modeling and optimizing analog neural networks

A python implementation of the Atmospheric Lidar Data Augmentation (ALiDAn) framework and a learning pipeline utilizing both ALiDAn's and raw data.

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