All-Optical Neural Networks Using Silicon MRR Arrays and III-V SOAs
We propose an all-optical deep optical neural network based on silicon MRR arrays and III- <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$V$</tex> SOAs. The demonstrated all-optical neuron has been used on the MNIST handwritten digit recognition task with 97.69% accuracy.
Authors
- Zhifeng Yang (ORCID: https://orcid.org/0000-0002-0829-4379)
- Shuang Zheng (ORCID: https://orcid.org/0000-0002-4825-5163)
- Minming Zhang (ORCID: https://orcid.org/0000-0002-3742-1445)
- Yunlong Li (ORCID: https://orcid.org/0000-0001-8819-7167)
- Deming Liu (ORCID: https://orcid.org/0000-0001-5591-2929)
- Yu Han (ORCID: https://orcid.org/0000-0001-8531-2625)
- Kaiyuan Wang (ORCID: https://orcid.org/0009-0001-5375-3757)
Institutions
- Huazhong University of Science and Technology (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109619
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00