| Title | Simplified Synaptic Receptor for Coherent Optical Neural Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Schrenk, Bernhard |
| Conference Name | 2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM) |
| Date Published | jul |
| Keywords | artificial neural network, Artificial neural networks, Collaboration, cyber physical systems, Externally modulated laser, Lasers, Metrics, Neural network hardware, Neuromorphics, Optical computing, Optical fiber networks, Optical filters, Optical interconnections, optical signal detection, policy-based governance, pubcrawl, resilience, Resiliency, Routing |
| Abstract | Advancing artificial neural networks to the coherent optical domain offers several advantages, such as a filterless synaptic interconnect with increased routing flexibility. Towards this direction, a coherent synaptic receptor with integrated multiplication function will be experimentally evaluated for a 1-GHz train of 130-ps spikes. |
| DOI | 10.1109/SUM48717.2021.9505844 |
| Citation Key | schrenk_simplified_2021 |
Simplified Synaptic Receptor for Coherent Optical Neural Networks