TY - JOUR
T1 - Integrated lithium niobate microwave photonic processing engine
AU - Feng, Hanke
AU - Ge, Tong
AU - Guo, Xiaoqing
AU - Wang, Benshan
AU - Zhang, Yiwen
AU - Chen, Zhaoxi
AU - Zhu, Sha
AU - Zhang, Ke
AU - Sun, Wenzhao
AU - Huang, Chaoran
AU - Yuan, Yixuan
AU - Wang, Cheng
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (grant no. 61922092), the Research Grants Council, University Grants Committee (grant nos. CityU 11204820, CityU 21208219, N_CityU113/20 and C1002-22Y), the Croucher Foundation (grant no. 9509005), the Innovation and Technology Fund (grant no. ITS/226/21FP) and the City University of Hong Kong (grant nos. 9610402 and 9610455).
Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024
PY - 2024/3/7
Y1 - 2024/3/7
N2 - Integrated microwave photonics (MWP) is an intriguing technology for the generation, transmission and manipulation of microwave signals in chip-scale optical systems1,2. In particular, ultrafast processing of analogue signals in the optical domain with high fidelity and low latency could enable a variety of applications such as MWP filters3–5, microwave signal processing6–9 and image recognition10,11. An ideal integrated MWP processing platform should have both an efficient and high-speed electro-optic modulation block to faithfully perform microwave–optic conversion at low power and also a low-loss functional photonic network to implement various signal-processing tasks. Moreover, large-scale, low-cost manufacturability is required to monolithically integrate the two building blocks on the same chip. Here we demonstrate such an integrated MWP processing engine based on a 4 inch wafer-scale thin-film lithium niobate platform. It can perform multipurpose tasks with processing bandwidths of up to 67 GHz at complementary metal–oxide–semiconductor (CMOS)-compatible voltages. We achieve ultrafast analogue computation, namely temporal integration and differentiation, at sampling rates of up to 256 giga samples per second, and deploy these functions to showcase three proof-of-concept applications: solving ordinary differential equations, generating ultra-wideband signals and detecting edges in images. We further leverage the image edge detector to realize a photonic-assisted image segmentation model that can effectively outline the boundaries of melanoma lesion in medical diagnostic images. Our ultrafast lithium niobate MWP engine could provide compact, low-latency and cost-effective solutions for future wireless communications, high-resolution radar and photonic artificial intelligence.
AB - Integrated microwave photonics (MWP) is an intriguing technology for the generation, transmission and manipulation of microwave signals in chip-scale optical systems1,2. In particular, ultrafast processing of analogue signals in the optical domain with high fidelity and low latency could enable a variety of applications such as MWP filters3–5, microwave signal processing6–9 and image recognition10,11. An ideal integrated MWP processing platform should have both an efficient and high-speed electro-optic modulation block to faithfully perform microwave–optic conversion at low power and also a low-loss functional photonic network to implement various signal-processing tasks. Moreover, large-scale, low-cost manufacturability is required to monolithically integrate the two building blocks on the same chip. Here we demonstrate such an integrated MWP processing engine based on a 4 inch wafer-scale thin-film lithium niobate platform. It can perform multipurpose tasks with processing bandwidths of up to 67 GHz at complementary metal–oxide–semiconductor (CMOS)-compatible voltages. We achieve ultrafast analogue computation, namely temporal integration and differentiation, at sampling rates of up to 256 giga samples per second, and deploy these functions to showcase three proof-of-concept applications: solving ordinary differential equations, generating ultra-wideband signals and detecting edges in images. We further leverage the image edge detector to realize a photonic-assisted image segmentation model that can effectively outline the boundaries of melanoma lesion in medical diagnostic images. Our ultrafast lithium niobate MWP engine could provide compact, low-latency and cost-effective solutions for future wireless communications, high-resolution radar and photonic artificial intelligence.
UR - http://www.scopus.com/inward/record.url?scp=85185979315&partnerID=8YFLogxK
U2 - 10.1038/s41586-024-07078-9
DO - 10.1038/s41586-024-07078-9
M3 - Journal article
C2 - 38418888
AN - SCOPUS:85185979315
SN - 0028-0836
VL - 627
SP - 80
EP - 87
JO - Nature
JF - Nature
ER -