Details
| Original language | English |
|---|---|
| Pages (from-to) | 3915-3928 |
| Number of pages | 14 |
| Journal | ACS PHOTONICS |
| Volume | 10 |
| Issue number | 11 |
| Early online date | 25 Oct 2023 |
| Publication status | Published - 15 Nov 2023 |
Abstract
Dispersive Fourier transform is a characterization technique that allows directly extracting an optical spectrum from a time domain signal, thus providing access to real-time characterization of the signal spectrum. However, these techniques suffer from sensitivity and dynamic range limitations, hampering their use for special applications in, e.g., high-contrast characterizations and sensing. Here, we report on a novel approach to dispersive Fourier transform-based characterization using single-photon detectors. In particular, we experimentally develop this approach by leveraging mutual information analysis for signal processing and hold a performance comparison with standard dispersive Fourier transform detection and statistical tools. We apply the comparison to the analysis of noise-driven nonlinear dynamics arising from well-known modulation instability processes. We demonstrate that with this dispersive Fourier transform approach, mutual information metrics allow for successfully gaining insight into the fluctuations associated with modulation instability-induced spectral broadening, providing qualitatively similar signatures compared to ultrafast photodetector-based dispersive Fourier transform but with improved signal quality and spectral resolution (down to 53 pm). The technique presents an intrinsically unlimited dynamic range and is extremely sensitive, with a sensitivity reaching below the femtowatt (typically 4 orders of magnitude better than ultrafast dispersive Fourier transform detection). We show that this method can not only be implemented to gain insight into noise-driven (spontaneous) frequency conversion processes but also be leveraged to characterize incoherent dynamics seeded by weak coherent optical fields.
Keywords
- fiber optics, modulation instability, nonlinear photonics, real-time characterization techniques, spectral correlation
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Engineering(all)
- Electrical and Electronic Engineering
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In: ACS PHOTONICS, Vol. 10, No. 11, 15.11.2023, p. 3915-3928.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Single-Photon Level Dispersive Fourier Transform
T2 - Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics
AU - Sader, Lynn
AU - Bose, Surajit
AU - Kashi, Anahita Khodadad
AU - Boussafa, Yassin
AU - Haldar, Raktim
AU - Dauliat, Romain
AU - Roy, Philippe
AU - Fabert, Marc
AU - Tonello, Alessandro
AU - Couderc, Vincent
AU - Kues, Michael
AU - Wetzel, Benjamin
N1 - Funding Information: This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 950618 (STREAMLINE project) and No. 947603 (QFreC project), from the French Agence Nationale de la Recherche (ANR) through the OPTIMAL project (ANR-20-CE30-0004), from the German Federal Ministry of Education and Research within the project PQuMAL and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). L.S., Y.B., and B.W. further acknowledge the support of the Conseil Régional Nouvelle-Aquitaine (SCIR & SPINAL projects). R.H. acknowledges the financial support provided by the Alexander von Humboldt Stiftung to conduct the research.
PY - 2023/11/15
Y1 - 2023/11/15
N2 - Dispersive Fourier transform is a characterization technique that allows directly extracting an optical spectrum from a time domain signal, thus providing access to real-time characterization of the signal spectrum. However, these techniques suffer from sensitivity and dynamic range limitations, hampering their use for special applications in, e.g., high-contrast characterizations and sensing. Here, we report on a novel approach to dispersive Fourier transform-based characterization using single-photon detectors. In particular, we experimentally develop this approach by leveraging mutual information analysis for signal processing and hold a performance comparison with standard dispersive Fourier transform detection and statistical tools. We apply the comparison to the analysis of noise-driven nonlinear dynamics arising from well-known modulation instability processes. We demonstrate that with this dispersive Fourier transform approach, mutual information metrics allow for successfully gaining insight into the fluctuations associated with modulation instability-induced spectral broadening, providing qualitatively similar signatures compared to ultrafast photodetector-based dispersive Fourier transform but with improved signal quality and spectral resolution (down to 53 pm). The technique presents an intrinsically unlimited dynamic range and is extremely sensitive, with a sensitivity reaching below the femtowatt (typically 4 orders of magnitude better than ultrafast dispersive Fourier transform detection). We show that this method can not only be implemented to gain insight into noise-driven (spontaneous) frequency conversion processes but also be leveraged to characterize incoherent dynamics seeded by weak coherent optical fields.
AB - Dispersive Fourier transform is a characterization technique that allows directly extracting an optical spectrum from a time domain signal, thus providing access to real-time characterization of the signal spectrum. However, these techniques suffer from sensitivity and dynamic range limitations, hampering their use for special applications in, e.g., high-contrast characterizations and sensing. Here, we report on a novel approach to dispersive Fourier transform-based characterization using single-photon detectors. In particular, we experimentally develop this approach by leveraging mutual information analysis for signal processing and hold a performance comparison with standard dispersive Fourier transform detection and statistical tools. We apply the comparison to the analysis of noise-driven nonlinear dynamics arising from well-known modulation instability processes. We demonstrate that with this dispersive Fourier transform approach, mutual information metrics allow for successfully gaining insight into the fluctuations associated with modulation instability-induced spectral broadening, providing qualitatively similar signatures compared to ultrafast photodetector-based dispersive Fourier transform but with improved signal quality and spectral resolution (down to 53 pm). The technique presents an intrinsically unlimited dynamic range and is extremely sensitive, with a sensitivity reaching below the femtowatt (typically 4 orders of magnitude better than ultrafast dispersive Fourier transform detection). We show that this method can not only be implemented to gain insight into noise-driven (spontaneous) frequency conversion processes but also be leveraged to characterize incoherent dynamics seeded by weak coherent optical fields.
KW - fiber optics
KW - modulation instability
KW - nonlinear photonics
KW - real-time characterization techniques
KW - spectral correlation
UR - http://www.scopus.com/inward/record.url?scp=85178064589&partnerID=8YFLogxK
U2 - 10.1021/acsphotonics.3c00711
DO - 10.1021/acsphotonics.3c00711
M3 - Article
AN - SCOPUS:85178064589
VL - 10
SP - 3915
EP - 3928
JO - ACS PHOTONICS
JF - ACS PHOTONICS
SN - 2330-4022
IS - 11
ER -