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All-Optical Reservoir Computing on a Photonic Chip Using Silicon-Based Ring Resonators
Open accessAbstract
We present in our work numerical results on the performance of a 4 × 4 swirl-topology photonic reservoir integrated on a silicon chip. Nonlinear microring resonators are used as nodes. We analyze the performance of such a reservoir on a classical nonlinear Boolean task (the delayed XOR task) for: various designs of the reservoir in terms of lengths of the waveguides between consecutive nodes, and various injection parameters (injected power and optical detuning). From this analysis, we find that this kind of reservoir can perform-for a large variety of parameters-the delayed XOR task at 20 Gb/s with bit error rates lower than 10-3and an averaged injection power lower than 2.5 mW.
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8-bit integer operations, or even fewer bits, offer sufficient precision for training and deploying neural networks across diverse applications.
“We chose this standard because 8-bit integer operations, or even fewer bits [219, 221], offer sufficient precision for training and deploying neural networks across diverse applications.”
From Brain-inspired computing systems: a systematic literature review (2024) · cites this paper as [221]
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Cites
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
Jaeger, H., & Haas, H. (2004) · Science · doi:10.1126/science.1091277 · Cited by 3,811
Reservoir computing approaches to recurrent neural network training
Lukoševičius, M., & Jaeger, H. (2009) · Computer Science Review · doi:10.1016/j.cosrev.2009.03.005 · Cited by 2,956
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Research works printed but not linked: 32
- 10.1016/j.photonics.2006.08.001 · DOI
- 10.1109/68.826927 · DOI
- 10.1049/iet-com.2011.0773 · DOI
- 10.1364/OE.20.007454 · DOI
- 10.1007/978-3-319-46687-3_22 · DOI
- 10.1016/j.proeng.2011.03.079 · DOI
- 10.1364/OL.31.002187 · DOI
- 10.1117/1.OE.56.8.086101 · DOI
- 10.1515/nanoph-2016-0132 · DOI
- 10.1103/PhysRevX.7.011015 · DOI
- 10.1038/ncomms2368 · DOI
- 10.1038/ncomms1476 · DOI
- 10.1364/OE.20.022783 · DOI
- 10.1364/OE.20.003241 · DOI
- 10.1364/OE.21.000012 · DOI
- antonik, 0, Towards pattern generation and chaotic series prediction with photonic reservoir computers, Proc SPIE, 9732
- 10.1109/TNN.2011.2161771 · DOI
- 10.1364/OE.18.018438 · DOI
- 10.1162/089976602760407955 · DOI · Paper page
- 10.1364/JOSAB.31.000201 · DOI
- 10.1109/TIE.2006.888791 · DOI
- 10.1103/PhysRevA.87.053805 · DOI
- verstraeten, 0, Reservoir computing with stochastic bitstream neurons, Proc 16th Annual Prorisc Workshop, 454
- schürmann, 0, Edge of chaos computation in mixed-mode VLSI—A hard liquid, Proc Adv Neural Inf Process Syst, 1201
- 10.1109/TNS.2017.2706061 · DOI
- 10.15760/etd.899 · DOI
- 10.1364/JOSAB.30.003048 · DOI
- 10.1038/ncomms4541 · DOI
- mesaritakis, 0, All-optical reservoir computing system based on InGaAsP ring resonators for high-speed identification and optical routing in optical networks, Proc SPIE
- 10.1109/TNNLS.2013.2274670 · DOI
- 10.1007/s12559-017-9465-5 · DOI
- 10.1364/OE.20.020292 · DOI
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Brain-inspired computing systems: a systematic literature review
Zolfagharinejad, M., Alegre-Ibarra, U., Chen, T., Kinge, S., & van der Wiel, W. G. (2024) · The European Physical Journal B · doi:10.1140/epjb/s10051-024-00703-6 · Cited by 39
Metadata
- Authors
- Coarer, F. D.-L., Sciamanna, M., Katumba, A., Freiberger, M., Dambre, J., Bienstman, P., & Rontani, D.
- Affiliations
- Université Paris-Saclay (FR)
- Ghent University (BE)
- ORCID
- Venue
- IEEE Journal of Selected Topics in Quantum Electronics
- Published
- 2018-11
- Volume
- 24
- Issue
- 6
- Pages
- 1-8
- ISSN
- 1077-260X (ISSN-L)
- 1558-4542
- OpenAlex
- W2803450791
- Cited by
- 119
- References
- 2
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 18 · 2023: 11 · 2022: 19 · 2021: 21 · 2020: 17 · 2019: 5 · 2018: 4
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- IEEE Journal of Selected Topics in Quantum Electronics (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- HAL (submittedVersion, other-oa)
- Funders
- Belgian Federal Science Policy Office (IAP P7-35)
- EU Horizon 2020 PHRESCO (688579)
- Fondation Supélec, Préfecture de Région Grand-Est, Région Grand-Est, Metz Métropole, Département de la Moselle, and AIRBUS GDI Simulation
- AFOSR (FA-9550-15-1-0279, FA9550-17-1-0072)
- 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 › Semiconductor Lasers and Optical Devices
- Keywords
- microring resonators, silicon photonics, injection power, waveguide length, photonic integrated circuits
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