Optical computing: Revisit an old question with new hardware (TFLN) and software (cEP) perspectives
In this talk we will discuss how the two game changers, TFLN as a new hardware platform and cEP as a new training algorithm, may change a prospect of optical computing and machine learning.
Authors
- Tatsuhiro Onodera (ORCID: https://orcid.org/0000-0002-6912-6504)
- F. Ho
- Timothy P. McKenna (ORCID: https://orcid.org/0000-0001-8132-7336)
- M. M. Fejer (ORCID: https://orcid.org/0000-0002-5512-1905)
- Y. Yamamoto (ORCID: https://orcid.org/0000-0002-4150-6804)
- Timothée Leleu (ORCID: https://orcid.org/0000-0002-0247-3093)
- Edwin Ng (ORCID: https://orcid.org/0000-0002-3695-1698)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jsy121_1
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00