| 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: | 1 (Dimensions.ai - last update: 24/11/2024)
1 (OpenCitations - last update: 27/6/2024)
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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. Related Research Topics
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