Nature Communications (Oct 2018)

High-performance and scalable on-chip digital Fourier transform spectroscopy

  • Derek M. Kita,
  • Brando Miranda,
  • David Favela,
  • David Bono,
  • Jérôme Michon,
  • Hongtao Lin,
  • Tian Gu,
  • Juejun Hu

DOI
https://doi.org/10.1038/s41467-018-06773-2
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 7

Abstract

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On-chip spectrometers typically have limited spectral channels and low signal to noise ratios. Here the authors introduce a digital architecture that uses switches to change the interferometer path lengths, enabling exponentially more spectral channels per circuit element and lower noise by leveraging a machine learning reconstruction algorithm.