Scalable photonic-phonoinc integrated circuitry for reconfigurable signal processing
Liang Zhang,
Chaohan Cui,
Yongzhou Xue,
Paokang Chen and
Linran Fan ()
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Liang Zhang: The University of Texas at Austin
Chaohan Cui: The University of Arizona
Yongzhou Xue: The University of Arizona
Paokang Chen: The University of Texas at Austin
Linran Fan: The University of Texas at Austin
Nature Communications, 2025, vol. 16, issue 1, 1-6
Abstract:
Abstract The interaction between photons and phonons plays a crucial role in broad areas ranging from optical sources and modulators to quantum transduction and metrology. The performance can be further improved using integrated photonic-phononic devices, promising enhanced interaction strength and large-scale integration. While the enhanced interaction has been widely demonstrated, it is challenging to realize large-scale integrated photonic-phononic circuits due to material limitations. Here, we resolve this critical issue by using gallium nitride on sapphire for scalable photonic-phononic integrated circuits. Both optical and acoustic fields are confined in sub-wavelength scales without suspended structures. This enables us to achieve the efficient launching, flexible routing, and reconfigruable processing of optical and acoustic fields simultaneously. With the controlled photonic-phononic interaction and strong piezoelectric effect, we further demonstrate the reconfigurable conversion between frequency-multiplexed RF and optical signals mediated by acoustics. This work provides an ideal platform for achieving ultimate performance of photonic-phononic hybrid systems with high efficiency, multiple functions, and large scalability.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57922-3
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DOI: 10.1038/s41467-025-57922-3
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