Hardware-Efficient Universal Linear Transformations for Optical Modes in the Synthetic Time Dimension
We present an architecture for large-scale programmable unitary operations by encoding information over serial time bins. Our proposal is unique in providing an exponential reduction in the hardware resources required to implement these transformations.
Authors
- Jasvith Raj Basani (ORCID: https://orcid.org/0000-0001-8453-8104)
- Edo Waks A (ORCID: https://orcid.org/0000-0003-0299-0784)
- Saikat Guha (ORCID: https://orcid.org/0000-0002-2581-4380)
- Jack Postlewaite (ORCID: https://orcid.org/0009-0000-2149-3279)
- Chaohan Cui (ORCID: https://orcid.org/0000-0003-4517-8980)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_fs.2025.ff117_4
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00