High-Dimensional Spatially Programmable Photonics
I will present a device whose refractive index as a function of space can be rapidly reprogrammed with applications for machine learning, and an extension to program the nonlinear susceptibility for nonlinear and quantum optics.
Authors
- Tatsuhiro Onodera (ORCID: https://orcid.org/0000-0002-6912-6504)
- Ryotatsu Yanagimoto (ORCID: https://orcid.org/0000-0002-9609-0076)
- Logan G. Wright (ORCID: https://orcid.org/0000-0001-7696-1260)
- Martin M. Stein (ORCID: https://orcid.org/0000-0001-6958-6925)
- Peter L. McMahon (ORCID: https://orcid.org/0000-0002-1177-9887)
Institutions
- Cornell University (US)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11110519
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Air Force Office of Scientific Research