Abstract
We demonstrate a data-driven model for optical matrix multipliers utilizing Mach-Zehnder interferometer meshes. For a fabricated chip, a transposed convolutional neural network model learns from experimental measurements offline and predicts the weights across 100 frequency channels in the C-band with high precision (RMSE<0.8 dB).
Original language | English |
---|---|
Title of host publication | Proceedings of 2022 IEEE Photonics Conference |
Number of pages | 2 |
Publisher | IEEE |
Publication date | 17 Nov 2022 |
Article number | 9975676 |
ISBN (Print) | 978-1-6654-3488-1 |
DOIs | |
Publication status | Published - 17 Nov 2022 |
Event | 2022 IEEE Photonics Conference - Hyatt Regency Vancouver Hotel, Vancouver, Canada Duration: 13 Nov 2022 → 17 Nov 2022 |
Conference
Conference | 2022 IEEE Photonics Conference |
---|---|
Location | Hyatt Regency Vancouver Hotel |
Country/Territory | Canada |
City | Vancouver |
Period | 13/11/2022 → 17/11/2022 |
Keywords
- Weight measurement
- Integrated optics
- Optical interferometry
- Optical device fabrication
- Optical computing
- Predictive models
- Adaptive optics