Publication:
Fiber-length agnostic all-optical equalisation using silicon photonics neural networks
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| cris.virtual.orcid | 0000-0001-6259-464X | |
| cris.virtual.orcid | 0000-0002-6611-7979 | |
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| cris.virtual.orcid | 0000-0002-8001-0238 | |
| cris.virtual.orcid | 0000-0002-9672-6652 | |
| cris.virtual.orcid | 0000-0003-3860-3563 | |
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| cris.virtualsource.department | bbd14c2b-9396-4c74-88d0-ddb44741a841 | |
| cris.virtualsource.department | 5d1c2092-b738-415f-a161-baba2221c4f6 | |
| cris.virtualsource.orcid | dce1a63c-281d-4f6a-9c8d-26a3b1e77103 | |
| cris.virtualsource.orcid | f99479a3-1e76-438d-9ec1-7d6eda3044dc | |
| cris.virtualsource.orcid | 64a02ad0-d7d4-4815-be9e-a8d3e1d10df6 | |
| cris.virtualsource.orcid | de15682a-d8a5-43f4-a8a2-ab9cd76bd5e0 | |
| cris.virtualsource.orcid | 3dada851-d554-4718-8993-44b5bf752bf5 | |
| cris.virtualsource.orcid | bbd14c2b-9396-4c74-88d0-ddb44741a841 | |
| cris.virtualsource.orcid | 5d1c2092-b738-415f-a161-baba2221c4f6 | |
| dc.contributor.author | Van Assche, Ruben | |
| dc.contributor.author | Masaad, Sarah | |
| dc.contributor.author | Gooskens, Emmanuel | |
| dc.contributor.author | Sackesyn, Stijn | |
| dc.contributor.author | Van Kerrebrouck, Joris | |
| dc.contributor.author | Yin, Xin | |
| dc.contributor.author | Bienstman, Peter | |
| dc.date.accessioned | 2026-09-03T13:03:28Z | |
| dc.date.available | 2026-09-03T13:03:28Z | |
| dc.date.createdwos | 2026 | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Signal integrity in high-speed intensity-modulation direct-detection (IM/DD) fibre links is limited by chromatic dispersion, Kerr-induced nonlinearities, and the frequency-dependent response of the transmitter–receiver chain. We demonstrate an integrated photonic reservoir with a programmable optical readout for pre-detection equalisation of a 28 Gbps on–off keying (OOK) signal. Using a fixed reservoir architecture and delay configuration, experimental bit-error rates as low as 4×10-7 are achieved, remaining below the generic forward-error-correction (GFEC) threshold of 5.8×10-5 for fibre lengths up to 50 km at a launch power of 10 dBm and launch powers up to 17 dBm at a fiber length of 25 km. Numerical simulations are used to assess the impact of data-rate mismatch relative to the reservoir design point. Robust performance is obtained without reconfiguration of the photonic hardware, requiring only optimisation of the readout weights for different operating conditions. | |
| dc.description.wosFundingText | This work was supported by the European Commission in the Horizon Europe programme under the projects Nebula, Prometheus, Postdigital, Neho and NEHIL, and by the Belgian FWO and EOS programmes. | |
| dc.identifier.doi | 10.1117/12.3078681 | |
| dc.identifier.isbn | 978-1-5106-9729-4 | |
| dc.identifier.issn | 0277-786X | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/60205 | |
| dc.language.iso | eng | |
| dc.provenance.editstepuser | greet.vanhoof@imec.be | |
| dc.publisher | SPIE-INT SOC OPTICAL ENGINEERING | |
| dc.source.beginpage | 139060H | |
| dc.source.conference | AI and Optical Data Sciences VII, | |
| dc.source.conferencedate | 2026-01-17 | |
| dc.source.conferencelocation | San Francisco | |
| dc.source.journal | AI AND OPTICAL DATA SCIENCES VII | |
| dc.source.numberofpages | 6 | |
| dc.subject.keywords | SIGNAL | |
| dc.title | Fiber-length agnostic all-optical equalisation using silicon photonics neural networks | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
| imec.internal.crawledAt | 2026-07-14 | |
| imec.internal.source | crawler | |
| imec.internal.wosCreatedAt | 2026-07-14 | |
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