Optical Neural Network Based on Slimmed Mach-Zehnder Interferometer Mesh
We propose three simplified MZI designs and experimentally verify that the accuracy is comparable to the original complete structure on the three classification tasks, while the number of optical devices used is significantly reduced.
Authors
- Kun Xu (ORCID: https://orcid.org/0000-0002-1663-9998)
- Qi Chen (ORCID: https://orcid.org/0000-0002-7430-1645)
- Tian Zhang (ORCID: https://orcid.org/0000-0002-1284-1232)
- Jian Dai (ORCID: https://orcid.org/0000-0002-0486-0628)
- Zhiwei Yang (ORCID: https://orcid.org/0000-0002-6379-056X)
- Zhenzhen Cai (ORCID: https://orcid.org/0000-0003-4831-8897)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809521
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Beijing Key Laboratory of Network System Architecture and Convergence
- Fundamental Research Funds for the Central Universities