Abstract
We present thin Rb-vapor cells with nonlinear transmission for compact integration with all-optical neural networks. The efficacy of the cells as nonlinear activation layers is demonstrated experimentally in optical neural networks for image classification.
| Original language | English |
|---|---|
| Title of host publication | CLEO |
| Subtitle of host publication | Science and Innovations - Proceedings CLEO 2025 |
| Publisher | Optical Society of America |
| ISBN (Electronic) | 9781957171500 |
| DOIs | |
| State | Published - 2025 |
| Event | 2025 CLEO: Science and Innovations, CLEO-SI 2025 - Long Beach, United States Duration: 4 May 2025 → 9 May 2025 |
Publication series
| Name | CLEO: Science and Innovations - Proceedings CLEO 2025 |
|---|
Conference
| Conference | 2025 CLEO: Science and Innovations, CLEO-SI 2025 |
|---|---|
| Country/Territory | United States |
| City | Long Beach |
| Period | 4/05/25 → 9/05/25 |
Bibliographical note
Publisher Copyright:© Optica Publishing Group 2025.
Fingerprint
Dive into the research topics of 'Thin atomic-vapor cells for all-optical neural network nonlinear activation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver