Customizing supercontinuum generation via on-chip adaptive temporal pulse-splitting
Abstract
Modern optical systems increasingly rely on complex physical processes that require accessible control to meet target performance characteristics. In particular, advanced light sources, sought for, for example, imaging and metrology, are based on nonlinear optical dynamics whose output properties must often finely match application requirements. However, in these systems, the availability of control parameters (e.g., the optical field shape, as well as propagation medium properties) and the means to adjust them in a versatile manner are usually limited. Moreover, numerically finding the optimal parameter set for such complex dynamics is typically computationally intractable. Here, we use an actively controlled photonic chip to prepare and manipulate patterns of femtosecond optical pulses that give access to an enhanced parameter space in the framework of supercontinuum generation. Taking advantage of machine learning concepts, we exploit this tunable access and experimentally demonstrate the customization of nonlinear interactions for tailoring supercontinuum properties.
Details
- Externe Organisation(en)
-
Institut national de la recherche scientifique (INRS)
University of Sussex
University of Glasgow
Harvard University
Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences
City University of Hong Kong
St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO)
Swinburne University of Technology
University of Electronic Science and Technology of China
- Typ
- Artikel
- Journal
- Nature Communications
- Band
- 9
- ISSN
- 2041-1723
- Publikationsdatum
- 20.11.2018
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Allgemeine Chemie, Allgemeine Biochemie, Genetik und Molekularbiologie, Allgemeine Physik und Astronomie
- Elektronische Version(en)
-
https://doi.org/10.1038/s41467-018-07141-w (Zugang:
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