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Photonic chip-based low-noise microwave oscillator

Authors :
Kudelin, Igor
Groman, William
Ji, Qing-Xin
Guo, Joel
Kelleher, Megan L.
Lee, Dahyeon
Nakamura, Takuma
McLemore, Charles A.
Shirmohammadi, Pedram
Hanifi, Samin
Cheng, Haotian
Jin, Naijun
Wu, Lue
Halladay, Samuel
Luo, Yizhi
Dai, Zhaowei
Jin, Warren
Bai, Junwu
Liu, Yifan
Zhang, Wei
Xiang, Chao
Chang, Lin
Iltchenko, Vladimir
Miller, Owen
Matsko, Andrey
Bowers, Steven M.
Rakich, Peter T.
Campbell, Joe C.
Bowers, John E.
Vahala, Kerry J.
Quinlan, Franklyn
Diddams, Scott A.
Source :
Nature; March 2024, Vol. 627 Issue: 8004 p534-539, 6p
Publication Year :
2024

Abstract

Numerous modern technologies are reliant on the low-phase noise and exquisite timing stability of microwave signals. Substantial progress has been made in the field of microwave photonics, whereby low-noise microwave signals are generated by the down-conversion of ultrastable optical references using a frequency comb1–3. Such systems, however, are constructed with bulk or fibre optics and are difficult to further reduce in size and power consumption. In this work we address this challenge by leveraging advances in integrated photonics to demonstrate low-noise microwave generation via two-point optical frequency division4,5. Narrow-linewidth self-injection-locked integrated lasers6,7are stabilized to a miniature Fabry–Pérot cavity8, and the frequency gap between the lasers is divided with an efficient dark soliton frequency comb9. The stabilized output of the microcomb is photodetected to produce a microwave signal at 20 GHz with phase noise of −96 dBc Hz−1at 100 Hz offset frequency that decreases to −135 dBc Hz−1at 10 kHz offset—values that are unprecedented for an integrated photonic system. All photonic components can be heterogeneously integrated on a single chip, providing a significant advance for the application of photonics to high-precision navigation, communication and timing systems.

Details

Language :
English
ISSN :
00280836 and 14764687
Volume :
627
Issue :
8004
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs65700113
Full Text :
https://doi.org/10.1038/s41586-024-07058-z