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: 8/12/2024) 1 (OpenCitations - last update: 27/6/2024) Look up on Google Scholar
| Download: |
(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. Related Research Topics
Related Projects
|
|