Pockels Soliton Microcomb
| Autor: | Alexander W. Bruch, Ming Li, Joshua B. Surya, Hong X. Tang, Zheng Gong, Chang-Ling Zou, Xianwen Liu |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Nanophotonics
FOS: Physical sciences Physics::Optics 02 engineering and technology 01 natural sciences Photonic metamaterial 010309 optics Resonator chemistry.chemical_compound 0103 physical sciences Nonlinear Sciences::Pattern Formation and Solitons Physics business.industry Aluminium nitride Energy conversion efficiency 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Metrology Nonlinear Sciences::Exactly Solvable and Integrable Systems chemistry Optoelectronics Soliton Photonics 0210 nano-technology business Optics (physics.optics) Physics - Optics |
| Popis: | Kerr soliton microcombs have recently emerged as a prominent topic in integrated photonics and have enabled new horizons for optical frequency metrology. Kerr soliton microcombs, as the name suggests, are based on high-order cubic optical nonlinearity. It is desirable to exploit quadratic photonic materials, namely Pockels materials, for soliton generation and on-chip implementation of 1f–2f comb self-referencing. Such quadratically driven solitons have been proposed theoretically, but have not yet been observed in a nanophotonic platform, despite recent progress in quadratic comb generation in free-space and crystalline resonators. Here, we report photonic-chip-based Pockels microcomb solitons driven by three-wave mixing in an aluminium nitride microring resonator. In contrast to typical Kerr solitons, the Pockels soliton features unity soliton generation fidelity, two-by-two evolution of multi-soliton states, favourable tuning dynamics and high pump-to-soliton conversion efficiency. Photonic-chip-based microcomb solitons driven by Pockels nonlinearity—the quadratic χ(2) effect—instead of the Kerr soliton are demonstrated in an aluminium nitride microring resonator with a conversion efficiency of 17%. |
| Databáze: | OpenAIRE |
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