@inproceedings{97e28a477985428d90217986a151b5ea,
title = "A Multi-Layer Topologically Reconfigurable Broadcast-and-Weight Photonic Neural Network",
abstract = "Broadcast-and-weight (BaW) photonic neural networks can process high-bandwidth signals with limited chip area, but they traditionally lack topological reconfigurability. We propose using a fully-connected recurrent BaW system as a topologically reconfigurable network and demonstrate a multi-layer feedforward network implemented on such a system.",
author = "Lederman, {Joshua C.} and Yusuf Jimoh and Simon Bilodeau and Weipeng Zhang and Blow, {Eric C.} and {Ferreira De Lima}, Thomas and Shastri, {Bhavin J.} and Prucnal, {Paul R.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Photonics Conference, IPC 2023 ; Conference date: 12-11-2023 Through 16-11-2023",
year = "2023",
doi = "10.1109/IPC57732.2023.10360794",
language = "English (US)",
series = "2023 IEEE Photonics Conference, IPC 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE Photonics Conference, IPC 2023 - Proceedings",
address = "United States",
}