Paper
4 March 2019 Dispersionless time-lens with an integrated silicon nitride ring resonator
Author Affiliations +
Abstract
The observation of ultrafast signals by expanding them to a time scale that enables the measurement with conventional high-speed systems is of considerable interest in many applications. Usually, a time-lens can be used for this purpose. Like a lens in optics, a time lens expands the signal in time. This can be accomplished by a strong first order dispersion. However, higher order dispersion leads to a distortion of the signal and an integration of elements with a strong first order dispersion is challenging. Here we present a dispersion-less time-lens with an integrated ring resonator. Several replicas of a single input signal are generated by a microring resonator having a free spectral range (FSR) much less than the bandwidth of the input signal. These copies are then subjected to a coupled Mach-Zehnder intensity modulator (MZM) system driven by a single sinusoidal radio frequency (RF) signal to generate copies of the input spectrum. In the time-domain this can be seen as a multiplication of the input signal with a sinc-pulse sequence. The sinc-pulse sequence is tunable by the single sinusoidal radio frequency. By choosing a suitable radio frequency, the signal waveform can be sampled at a different position for each copy, so that an expanded waveform with a configurable stretching factor determined by the input RF can be achieved. This time lens system can be fully integrated into a photonic integrated circuit and requires neither an optical source nor a dispersive medium. In first preliminary experiments we present a sampling rate of around 110 GSa/s.
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Arijit Misra, Stefan Preußler, Linjie Zhou, and Thomas Schneider "Dispersionless time-lens with an integrated silicon nitride ring resonator", Proc. SPIE 10921, Integrated Optics: Devices, Materials, and Technologies XXIII, 109211O (4 March 2019); https://doi.org/10.1117/12.2506793
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KEYWORDS
Modulators

Resonators

Dispersion

Silicon

Microrings

Signal processing

Frequency combs

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