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Customizing supercontinuum generation via on-chip adaptive temporal pulse-splitting

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posted on 2023-06-09, 15:58 authored by Benjamin Wetzel, Michael Kues, Piotr Roztocki, Christian Reimer, Pierre-Luc Godin, Maxwell Rowley, Brent E Little, Sai T Chu, Evgeny A Viktorov, David J. Moss, Alessia Pasquazi, Marco Peccianti, Roberto Morandotti
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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Nature Communications

ISSN

2041-1723

Publisher

Nature Research

Issue

1

Volume

9

Page range

4884 1-10

Department affiliated with

  • Physics and Astronomy Publications

Research groups affiliated with

  • Atomic, Molecular and Optical Physics Research Group Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-11-22

First Open Access (FOA) Date

2018-11-22

First Compliant Deposit (FCD) Date

2018-11-21

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