Deep learning with coherent nanophotonic circuits
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The scheme can be considered as an analog of recent proposals for neural networks encoded using classical light, with the additional ingredient that it leverages the quantum properties of the electromagnetic field.
“This scheme can be considered as an analog of recent proposals for neural networks encoded using classical light [31], with the additional ingredient that we leverage the quantum properties of the electromagnetic field.”
From Continuous-variable quantum neural networks (2019) · cites this paper as [31]
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- Authors
- Shen, Y., Harris, N. C., Skirlo, S., Prabhu, M., Baehr-Jones, T., Hochberg, M., Sun, X., Zhao, S., Larochelle, H., Englund, D., & Soljačić, M.
- Affiliations
- Massachusetts Institute of Technology (US)
- Université de Sherbrooke (CA)
- Corresponding author
- Shen, Yichen
- Harris, Nicholas C.
- Venue
- Nature Photonics
- Published
- 2017-06-12
- Volume
- 11
- Issue
- 7
- Pages
- 441-446
- ISSN
- 1749-4885 (ISSN-L)
- 1749-4893
- OpenAlex
- W2752849906
- Cited by
- 3,340
- References
- 6
- Citations by year
- 2026: 347 · 2025: 534 · 2024: 483 · 2023: 470 · 2022: 472 · 2021: 377 · 2020: 279 · 2019: 239 · 2018: 121 · 2017: 16 · 2013: 1
- FWCI
- 106.84
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Photonics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (1122374, W911NF-13)
- Multidisciplinary University Research Initiative (FA9550-14-1-0052)
- Air Force Office of Scientific Research (FA9550-, FA9550-14-1-0052, FA9550-12-C-0079, FA9550-12, -14-2-, FA9550-10-1-0439, FA8750-14-2-0120, FA9550-13-1-0027)
- Army Research Office (W911NF–13–D–0001, W911NF-13, W911NF)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Reservoir Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Photonic and Optical Devices
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- optical neural networks, silicon photonics, Mach-Zehnder interferometer, programmable photonic circuits, vowel recognition, neuromorphic computing, power efficiency, inference acceleration
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