Evidence map›Paper›PMID 41820287›Full record

ArticleLight, science & applications2026

Harnessing diverse hybrid integration for bridging trans-scale multi-dimensional fiber-chip data transmission and processing.

Kang Li, Guofeng Yan, Kangrui Wang, Chengkun Cai, Min Yang, Guangze Wu, Weike Zhao, Yingying Peng, Yaocheng Shi, Daoxin Dai and 1 more

Abstract read
In one paragraph

Article in Light, science & applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kang LiWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Guofeng YanWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Kangrui WangWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chengkun CaiWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Min YangWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Guangze WuWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Weike ZhaoState Key Laboratory for Modern Optical Instrumentation, Center for Optical & Electromagnetic Research, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Zijingang Campus, Hangzhou, China.
Yingying PengState Key Laboratory for Modern Optical Instrumentation, Center for Optical & Electromagnetic Research, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Zijingang Campus, Hangzhou, China.
Yaocheng ShiState Key Laboratory for Modern Optical Instrumentation, Center for Optical & Electromagnetic Research, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Zijingang Campus, Hangzhou, China.ORCID http://orcid.org/0000-0003-4489-8310
Daoxin DaiState Key Laboratory for Modern Optical Instrumentation, Center for Optical & Electromagnetic Research, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Zijingang Campus, Hangzhou, China.ORCID http://orcid.org/0000-0002-2769-3009
Jian WangWuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei, China. jwang@hust.edu.cn.ORCID http://orcid.org/0000-0002-0579-3041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical communications have emerged as a promising solution for high-speed modern communication systems and built an important infrastructure for the global information superhighway. Although recent efforts to enhance optical communications have penetrated from long-distance fiber-optic to ultra-short-reach chip-scale data transmission, "Trans-Scale" high-capacity data transmission remains great challenges. In addition to data transmission, data processing is also of great importance for flexible data management in optical communication systems. However, a "Digital Divide" (capacity gap) exists between high-capacity data transmission in fiber links and low-speed data processing at network nodes, hindering the flourishing development of optical communications. Here, we implement "Trans-Scale" high-capacity bridging between few-mode fiber and silicon multimode waveguide using a diverse hybrid integrated coupler, which includes a 3D silica fs-laser direct writing photonic chip and a 2D silicon photonic integrated circuit. On this basis, we leverage a large-scale silicon reconfigurable optical add-drop multiplexer (ROADM) with over 2000 elements to construct a multi-dimensional fiber-chip system, enabling 192-channel (3 modes, 2 polarizations, 32 wavelengths) and 20-Tbit/s trans-scale multi-dimensional data transmission and processing. This demonstration provides a superior trans-scale architecture for multi-dimensional data transmission and processing in next-generation optical communications.

Identifiers

PMID41820287
PMCPMC12982771

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.