Abstract
We investigate the scalability of a SOA-based photonic DNN with WDM inputs. For a 3-layer DNN, a quasi-linear dependence between the prediction accuracy and errors/layer is found for a NRMSE <0.09. Optimized passive losses can enable synaptic function at half of the power consumption.
Original language | English |
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Title of host publication | 2020 IEEE Photonics Society Summer Topical Meeting Series, SUM 2020 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 2 |
ISBN (Electronic) | 978-1-7281-5887-7 |
DOIs | |
Publication status | Published - Jul 2020 |
Event | 2020 IEEE Photonics Society Summer Topical Meeting Series, SUM 2020 - Cabo San Lucas, Mexico Duration: 13 Jul 2020 → 15 Jul 2020 |
Conference
Conference | 2020 IEEE Photonics Society Summer Topical Meeting Series, SUM 2020 |
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Country/Territory | Mexico |
City | Cabo San Lucas |
Period | 13/07/20 → 15/07/20 |
Keywords
- Artificial neural networks
- Image classification
- Photonic integrated circuits
- Semiconductor optical amplifiers
- Simulation