Phase-Change Extraordinary Optical Transmission Metasurface for Reconfigurable Spatial Filtering
Optical analogue computing is attracting a lot of research attention due to some inherent advantages over digital electronic computing, advantages that include spatial parallelism, low-loss transmission and ultra-high bandwidth [1]. Both free-space and integrated photonic systems have been explored for uses such as optical neural networks [2] and parallelised matrix-vector multiplication [3]. The work presented here utilises a free-space configuration for reconfigurable optical image processing, in particular implementing dual-function reconfigurable low and high-pass filtering, with applications in edge-detection and blurring.
Authors
- C. David Wright (ORCID: https://orcid.org/0000-0003-4087-7467)
- Andrea Alù (ORCID: https://orcid.org/0000-0002-4297-5274)
- Carlota Ruíz de Galarreta (ORCID: https://orcid.org/0000-0001-9898-851X)
- Joe Shields (ORCID: https://orcid.org/0000-0001-5506-0527)
- Jacopo Bertolotti (ORCID: https://orcid.org/0000-0002-7163-6343)
- Stuart Kendall
Institutions
- The Graduate Center, CUNY (US)
- City University of New York (US)
- University of Exeter (GB)
- CUNY Advanced Science Research Center (US)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110729
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00