Mid‐Infrared Single‐Photon Compressive Spectroscopy

Author:

Sun Ben1,Huang Kun123ORCID,Ma Huijie1,Fang Jianan1,Zheng Tingting1,Qin Ruiyang1,Chu Yongyuan4,Guo Hairun4,Liang Yan5,Zeng Heping1267

Affiliation:

1. State Key Laboratory of Precision Spectroscopy East China Normal University Shanghai 200062 China

2. Chongqing Key Laboratory of Precision Optics Chongqing Institute of East China Normal University Chongqing 401121 China

3. Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi 030006 China

4. Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai University Shanghai 200444 China

5. School of Optical Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China

6. Shanghai Research Center for Quantum Sciences Shanghai 201315 China

7. Chongqing Institute for Brain and Intelligence Guangyang Bay Laboratory Chongqing 400064 China

Abstract

AbstractSensitive 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.

Funder

Key Technologies Research and Development Program

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Municipality

Fundamental Research Funds for Central Universities of the Central South University

Publisher

Wiley

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