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Authors: F. Laporte, J. Dambre, P. Bienstman
Title: Photontorch: Simulation and Optimization of Large Photonic Circuits Using the Deep Learning Framework PyTorch
Format: International Conference Presentation
Publication date: 7/2019
Journal/Conference/Book: IEEE Photonics Society Summer Topicals
Editor/Publisher: IEEE Photonics Society, 
Volume(Issue): p.paper WE1.2
Location: Fort Lauderdale, United States
DOI: 10.1109/phosst.2019.8794941
Citations: Look up on Google Scholar
Download: Download this Publication (271KB) (271KB)

Abstract

We propose a new framework for simulating and optimizing large photonic circuits. The framework utilizes gpu-acceleration to efficiently simulate the circuits in a highly parallel manner, while optimization is achieved through backpropagation by essentially viewing the circuit as a sparsely connected recurrent neural network.

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