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Plasmonic IQ modulators with attojoule per bit electrical energy consumption

Author

Listed:
  • Wolfgang Heni

    (ETH Zurich)

  • Yuriy Fedoryshyn

    (ETH Zurich)

  • Benedikt Baeuerle

    (ETH Zurich)

  • Arne Josten

    (ETH Zurich)

  • Claudia B. Hoessbacher

    (ETH Zurich)

  • Andreas Messner

    (ETH Zurich)

  • Christian Haffner

    (ETH Zurich)

  • Tatsuhiko Watanabe

    (ETH Zurich)

  • Yannick Salamin

    (ETH Zurich)

  • Ueli Koch

    (ETH Zurich)

  • Delwin L. Elder

    (University of Washington)

  • Larry R. Dalton

    (University of Washington)

  • Juerg Leuthold

    (ETH Zurich)

Abstract

Coherent optical communications provides the largest data transmission capacity with the highest spectral efficiency and therefore has a remarkable potential to satisfy today’s ever-growing bandwidth demands. It relies on so-called in-phase/quadrature (IQ) electro-optic modulators that encode information on both the amplitude and the phase of light. Ideally, such IQ modulators should offer energy-efficient operation and a most compact footprint, which would allow high-density integration and high spatial parallelism. Here, we present compact IQ modulators with an active section occupying a footprint of 4 × 25 µm × 3 µm, fabricated on the silicon platform and operated with sub-1-V driving electronics. The devices exhibit low electrical energy consumptions of only 0.07 fJ bit−1 at 50 Gbit s−1, 0.3 fJ bit−1 at 200 Gbit s−1, and 2 fJ bit−1 at 400 Gbit s−1. Such IQ modulators may pave the way for application of IQ modulators in long-haul and short-haul communications alike.

Suggested Citation

  • Wolfgang Heni & Yuriy Fedoryshyn & Benedikt Baeuerle & Arne Josten & Claudia B. Hoessbacher & Andreas Messner & Christian Haffner & Tatsuhiko Watanabe & Yannick Salamin & Ueli Koch & Delwin L. Elder &, 2019. "Plasmonic IQ modulators with attojoule per bit electrical energy consumption," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09724-7
    DOI: 10.1038/s41467-019-09724-7
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    Cited by:

    1. Shaofu Xu & Jing Wang & Sicheng Yi & Weiwen Zou, 2022. "High-order tensor flow processing using integrated photonic circuits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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