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Integrated photonics

Lithography-free reconfigurable photonic processor

Nature Photonics volume 17, pages 644–645 (2023)Cite this article

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A lithography-free photonic processor through dynamic control of optical gain distributions is demonstrated, allowing reconfigurable photonic neural networks and more efficient signal processing, and showing great promise in easing data traffic as well as accelerating information processing speeds.

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Fig. 1: Lithography-free integrated photonic processor for on-chip signal processing and network training.

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Authors and Affiliations

  1. University of Münster, Physikalisches Institut, Center for Nanotechnology, Münster, Germany

    Anna P. Ovvyan & Wolfram H. P. Pernice

  2. Center for Soft Nanoscience, Münster, Germany

    Wolfram H. P. Pernice

  3. Kirchhoff-Institut for Physics, Heidelberg, Germany

    Wolfram H. P. Pernice

Authors
  1. Anna P. Ovvyan
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  2. Wolfram H. P. Pernice
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Correspondence to Anna P. Ovvyan or Wolfram H. P. Pernice.

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The authors declare no competing interests.

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Ovvyan, A.P., Pernice, W.H.P. Lithography-free reconfigurable photonic processor. Nat. Photon. 17, 644–645 (2023). https://doi.org/10.1038/s41566-023-01253-6

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