Collimating a Free-Space Gaussian Beam by Means of a Chip-Scale Photonic Extreme Mode Converter

Alexander Yulaev, Sangsik Kim, Daron A. Westly, Brian J. Roxworthy, Qing Li, Kartik A. Srinivasan, Vladimir A. Aksyuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Integration of nanophotonics with micromechanical, biological, and chemical systems can miniaturize the reference samples for SI traceable calibration. However, an efficient conversion between photonic modes and free-space beams remains a main hurdle due to a gigantic mode mismatch (106 times in modal area). Here, we report an extreme mode converter realized on a photonic chip, which enables projecting a 160-micrometer wide Gaussian beam in free space by a sequential mode expansion from a waveguide to a slab mode and then to free space using an apodised grating. The design can be easily adapted for visible, telecom, and UV wavelengths.

Original languageEnglish
Title of host publicationInternational Conference on Optical MEMS and Nanophotonics, OMN 2018 - Proceedings
PublisherIEEE Computer Society
ISBN (Print)9781509063727
DOIs
StatePublished - Sep 4 2018
Event23rd International Conference on Optical MEMS and Nanophotonics, OMN 2018 - Lausanne, Switzerland
Duration: Jul 29 2018Aug 2 2018

Publication series

NameInternational Conference on Optical MEMS and Nanophotonics
Volume2018-July
ISSN (Print)2160-5033
ISSN (Electronic)2160-5041

Conference

Conference23rd International Conference on Optical MEMS and Nanophotonics, OMN 2018
CountrySwitzerland
CityLausanne
Period07/29/1808/2/18

Keywords

  • mode conversion
  • nanophotonics
  • reference cells

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    Yulaev, A., Kim, S., Westly, D. A., Roxworthy, B. J., Li, Q., Srinivasan, K. A., & Aksyuk, V. A. (2018). Collimating a Free-Space Gaussian Beam by Means of a Chip-Scale Photonic Extreme Mode Converter. In International Conference on Optical MEMS and Nanophotonics, OMN 2018 - Proceedings [8454625] (International Conference on Optical MEMS and Nanophotonics; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.1109/OMN.2018.8454625