Photonic Probabilistic Computing with Arbitrary Distributions
We experimentally demonstrate different types of random variables computation using on-chip electro-absorption modulator for the first time to our knowledge, with the potential of 1.49 TOPS/W.
Authors
- Angel Ortega‐Gomez
- Guoce Yang (ORCID: https://orcid.org/0000-0002-6566-7776)
- Bowei Dong (ORCID: https://orcid.org/0000-0002-4122-0953)
- Harish Bhaskaran (ORCID: https://orcid.org/0000-0003-0774-8110)
- Samarth Aggarwal (ORCID: https://orcid.org/0000-0002-5442-6096)
- Mingde Du (ORCID: https://orcid.org/0000-0002-3246-1560)
- Nikolaos Farmakidis (ORCID: https://orcid.org/0000-0001-9974-1607)
- June Sang Lee (ORCID: https://orcid.org/0000-0001-8766-3269)
- Yi Zhang (ORCID: https://orcid.org/0000-0003-4299-1511)
- Shuping Zhong (ORCID: https://orcid.org/0000-0002-5808-7511)
- Mengyun Wang (ORCID: https://orcid.org/0000-0002-1978-7195)
- Serena Kumar Sabnani
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.aa128_4
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00