Mid-Infrared Single-Photon Compressive Spectroscopy

  • Ben Sun
  • , Kun Huang*
  • , Huijie Ma
  • , Jianan Fang
  • , Tingting Zheng
  • , Ruiyang Qin
  • , Yongyuan Chu
  • , Hairun Guo
  • , Yan Liang
  • , Heping Zeng*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Sensitive mid-infrared (MIR) spectroscopy plays an indispensable role in various photon-starved conditions. However, the detection sensitivity of conventional MIR spectrometers is severely limited by excessive noises of the involved infrared sensors, especially for multi-pixel arrays in parallel spectral acquisition. Here, an ultra-sensitive MIR single-pixel spectrometer is devised and implemented, which relies on high-fidelity spectral upconversion and wavelength-encoding compressive measurement. Specifically, a MIR nanophotonic supercontinuum from 3.1 to 3.9 µm is nonlinearly converted to the NIR band via synchronous chirped-pulse pumping, which facilitates both the precise spectral mapping and sensitive upconversion detection. The upconverted signal is then spatially dispersed onto a programmable digital micromirror device, before being registered by a single-element silicon detector. Consequently, the spectral information can be deciphered from the correlation between encoded patterns and recorded measurements, which results in a spectral resolution of 0.5 (Formula presented.) under an illumination flux down to 0.01 photons nm–1 pulse–1. Moreover, faithful reconstructions at sub-Nyquist sampling rates are demonstrated using the compressive sensing algorithm, which leads to a 95% reduction in data acquisition time. The presented single-pixel computational spectrometer features wavelength multiplexing, high throughput, and efficient sampling, which thus paves a new way for sensitive and fast spectroscopic analysis at the single-photon level.

Original languageEnglish
Article number2401099
JournalLaser and Photonics Reviews
Volume19
Issue number1
DOIs
StatePublished - 8 Jan 2025

Keywords

  • compressive sensing spectroscopy
  • frequency upconversion detection
  • mid-infrared spectroscopy
  • single-photon spectrometer
  • single-pixel spectroscopy

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