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.
Highlights
Modern optical systems increasingly rely on complex physical processes that require accessible control to meet target performance characteristics
A relevant example of this problem is the generation of a supercontinuum (SC)[8], a broadband spectrum produced by an optical pulse propagating in a medium under the combined actions of dispersion, nonlinearities, and scattering effects[9,10]
The propagation dynamics are widely influenced by noise effects, resulting in incoherent output spectra[12,13]
Summary
Modern optical systems increasingly rely on complex physical processes that require accessible control to meet target performance characteristics. The properties of single pulses deterministically seeding the generation of coherent supercontinua can be tuned over different degrees of freedom using state-of-the-art techniques (via e.g. pulse shaping, polarization control, or acousto/ electro-optic modulation)[10,17,18,23,24,25,26,27,28,29] These approaches typically rely on external devices that present fundamental limitations in the sub-picosecond regime, on top of being affected by complexity, bulkiness, and costs. We numerically show the potential of this technique, for spectral shaping, and towards the full temporal control of SC generation
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