Demonstration of Tunable and Reconfigurable All-Optical Matrix-Vector Multiplication Using Nonlinear Wave Mixing
We experimentally demonstrate an all-optical matrix-vector multiplication approach for encoded analog data using nonlinear wave mixing. We show the multiplication of matrices ( m ×4) with vectors (4×1) at 3 and 5 GSa/s with ~5 bit precision.
Authors
- Moshe Tur (ORCID: https://orcid.org/0000-0001-6799-8387)
- Huibin Zhou (ORCID: https://orcid.org/0000-0001-5570-0950)
- Amir Minoofar (ORCID: https://orcid.org/0000-0002-4629-2673)
- Xinzhou Su (ORCID: https://orcid.org/0000-0003-2520-4475)
- Zile Jiang (ORCID: https://orcid.org/0009-0002-8114-4542)
- Wing Ko
- Jonathan L. Habif
- Muralekrishnan Ramakrishnan (ORCID: https://orcid.org/0009-0009-1892-4838)
- Abdulrahman Alhaddad (ORCID: https://orcid.org/0009-0008-8210-8934)
- Alan E. Willner
- Hongkun Lian
Institutions
- University of Southern California (US)
- Tel Aviv University (IL)
- Southern States University (US)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/ofc.2025.w4d.3
- Citations
- 1
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.48