Quadratic-soliton-enhanced mid-IR molecular sensing
Abstract
Optical solitons have long been of interest both from a fundamental perspective and because of their application potential. Both cubic (Kerr) and quadratic nonlinearities can lead to soliton formation, but quadratic solitons can practically benefit from stronger nonlinearity and achieve substantial wavelength conversion. However, despite their rich physics, quadratic cavity solitons have been used only for broadband frequency comb generation, especially in the mid-infrared. Here, we show that the formation dynamics of mid-infrared quadratic cavity solitons, specifically temporal simultons in optical parametric oscillators, can be effectively leveraged to enhance molecular sensing. We demonstrate significant sensitivity enhancement while circumventing constraints of traditional cavity enhancement mechanisms. We perform experiments sensing CO2 using cavity simultons around 4 μm and achieve an enhancement of 6000. Additionally, we demonstrate large sensitivity at high concentrations of CO2, beyond what can be achieved using an equivalent high-finesse linear cavity by orders of magnitude. Our results highlight a path for utilizing quadratic cavity nonlinear dynamics and solitons for molecular sensing beyond what can be achieved using linear methods.
Copyright and License
This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material.
Funding
The authors gratefully acknowledge support from AFOSR award FA9550-23-1-0755, NSF Grant No. 1846273, the Center for Sensing to Intelligence at Caltech, and NASA/JPL. R.M.G. is thankful for support from the NSF Graduate Research Fellowship Program (GRFP).
Data Availability
The data and processing code used for generation of the figures within this manuscript and other findings of this study is available online, under the https://doi.org/10.22002/dks9f-mj878
Code Availability
The code used for data acquisition and simulation in this study is available online, under the https://doi.org/10.22002/qnfze-fgg96
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Additional details
- United States Air Force Office of Scientific Research
- FA9550-23-1-0755
- National Science Foundation
- 1846273
- National Science Foundation
- Graduate Research Fellowship Program (GRFP) -
- California Institute of Technology
- Accepted
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2024-10-14Accepted
- Available
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2024-10-21Published online
- Publication Status
- Published