Ultrafast waveform compression using a time-domain telescope
Autor: | Yoshitomo Okawachi, Mark A. Foster, Michal Lipson, Amy C. Turner-Foster, Reza Salem, Alexander L. Gaeta |
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Rok vydání: | 2009 |
Předmět: |
Physics
business.industry Photonic integrated circuit Bandwidth (signal processing) Physics::Optics Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Modulation Electronic engineering Optoelectronics Waveform Electronics Time domain Photonics business Ultrashort pulse |
Zdroj: | Nature Photonics. 3:581-585 |
ISSN: | 1749-4893 1749-4885 |
DOI: | 10.1038/nphoton.2009.169 |
Popis: | Photonic systems provide access to extremely large bandwidths, which can approach a petahertz1. Unfortunately, full utilization of this bandwidth is not achievable using standard electro-optical technologies, and higher (>100 GHz) performance requires all-optical processing with nonlinear-optical elements. A solution to the implementation of these elements in robust, compact and efficient systems is emerging in photonic integrated circuits, as evidenced by their recent application in various ultrahigh-bandwidth instruments2,3,4. These devices enable the characterization of extremely complex signals by linking the high-speed optical domain with slower speed electronics. Here, we extend the application of these devices beyond characterization and demonstrate an instrument that generates complex and rapidly updateable ultrafast optical waveforms. We generate waveforms with 1.5-ps minimum features by compressing lower-bandwidth replicas created with a 10 GHz electro-optic modulator. In effect, our device allows for ultrahigh-speed direct 270 GHz modulation using relatively low speed devices and represents a new class of ultrafast waveform generators. By exploiting the nonlinearity of on-chip silicon nanowaveguides, a parametric temporal imaging system that can compress optical waveforms in time is demonstrated, enabling generation of complex and rapidly updatable ultrafast optical waveforms. |
Databáze: | OpenAIRE |
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