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Broadband on-chip single-photon spectrometer

Author

Listed:
  • Risheng Cheng

    (Yale University)

  • Chang-Ling Zou

    (Yale University
    University of Science and Technology of China)

  • Xiang Guo

    (Yale University)

  • Sihao Wang

    (Yale University)

  • Xu Han

    (Yale University)

  • Hong X. Tang

    (Yale University)

Abstract

Single-photon counters are single-pixel binary devices that click upon the absorption of a photon but obscure its spectral information, whereas resolving the color of detected photons has been in critical demand for frontier astronomical observation, spectroscopic imaging and wavelength division multiplexed quantum communications. Current implementations of single-photon spectrometers either consist of bulky wavelength-scanning components or have limited detection channels, preventing parallel detection of broadband single photons with high spectral resolutions. Here, we present the first broadband chip-scale single-photon spectrometer covering both visible and infrared wavebands spanning from 600 nm to 2000 nm. The spectrometer integrates an on-chip dispersive echelle grating with a single-element propagating superconducting nanowire detector of ultraslow-velocity for mapping the dispersed photons with high spatial resolutions. The demonstrated on-chip single-photon spectrometer features small device footprint, high robustness with no moving parts and meanwhile offers more than 200 equivalent wavelength detection channels with further scalability.

Suggested Citation

  • Risheng Cheng & Chang-Ling Zou & Xiang Guo & Sihao Wang & Xu Han & Hong X. Tang, 2019. "Broadband on-chip single-photon spectrometer," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12149-x
    DOI: 10.1038/s41467-019-12149-x
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    Cited by:

    1. Mateusz Mazelanik & Adam Leszczyński & Michał Parniak, 2022. "Optical-domain spectral super-resolution via a quantum-memory-based time-frequency processor," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Yangxi Zhang & Sheng Zhang & Hao Wu & Jinhui Wang & Guang Lin & A. Ping Zhang, 2024. "Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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