Mid‐Infrared Single‐Photon Compressive Spectroscopy

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 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.

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Publication Details

Journal
Laser & Photonics Review
Published
2024-09-03
DOI
https://doi.org/10.1002/lpor.202401099
Citations
15
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
9.94

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article

Mid‐Infrared Single‐Photon Compressive Spectroscopy

Tingting Zheng, Jian‐an Fang, Yongyuan Chu, Kun Huang et al.
15 citations
Laser & Photonics Review
Spectroscopy Techniques in Biomedical and Chemical Research
9.94
article

Mid‐Infrared Single‐Photon Compressive Spectroscopy

Tingting Zheng, Jian‐an Fang, Yongyuan Chu, Kun Huang, Yan Liang, Hairun Guo, Heping Zeng, Ben Sun, Huijie Ma, Ruiyang Qin
article en
15 citations

Abstract

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 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.

Laser & Photonics ReviewVol. 19(1)
Shanghai University (CN), Chongqing Normal University (CN), University of Shanghai for Science and Technology (CN), Shanxi University (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), East China Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Key Technologies Research and Development Program, Fundamental Research Funds for Central Universities of the Central South University
Openalex Percentile: Top 2%
Spectroscopy Techniques in Biomedical and Chemical Research
9.94
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