Silicon Photonic Neuromorphic Processor for 100-Gbaud/λ Optical Communications and Beyond
We demonstrate a programmable silicon photonic neuromorphic processor for real-time, all-optical distortion compensation of up to 100-Gbaud/λ PAM4 and OOK signals transmitted over 5 km of SMF at C-band, with latency and power consumption orders of magnitude lower than those of DSP chips.
Authors
- Benshan Wang (ORCID: https://orcid.org/0000-0001-9208-1378)
- Fan Li (ORCID: https://orcid.org/0000-0002-9205-203X)
- Chaoran Huang (ORCID: https://orcid.org/0000-0001-6997-758X)
- Tengji Xu (ORCID: https://orcid.org/0009-0008-5958-0149)
- Qiarong Xiao (ORCID: https://orcid.org/0009-0009-8900-9426)
- Shaojie Liu (ORCID: https://orcid.org/0009-0008-6369-5651)
Institutions
- Chinese University of Hong Kong (HK)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/ofc.2025.tu3h.2
- Citations
- 2
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 4.96