Evidence map›Paper›PMID 42711301›Full record

ArticleNature communications2026

Hyper-spectral photonic integrated circuits based on recursive inverse design.

Hao He, Zengji Tu, Yuanlei Wang, Hongyan Zhao, Chuangxin Feng, Yongzhuo Zhou, Yujun Chen, Ruoao Yang, Lei Zhang, Jianjun Wu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 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

12 authors.

Hao He *State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Zengji Tu *State Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Yuanlei Wang *State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.
Hongyan ZhaoState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Chuangxin FengState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Yongzhuo ZhouState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Yujun ChenState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.ORCID http://orcid.org/0009-0004-0540-7931
Ruoao YangState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Lei ZhangState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Jianjun WuState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China.
Qi-Fan YangState Key Laboratory for Artificial Microstructure and Mesoscopic Physics, School of Physics, Peking University, Beijing, China. leonardoyoung@pku.edu.cn.ORCID http://orcid.org/0000-0002-7036-1712
Lin ChangState Key Laboratory of Photonics and Communications, School of Electronics, Peking University, Beijing, China. linchang@pku.edu.cn.ORCID http://orcid.org/0000-0003-4312-5850

Funding

Beijing Municipal Science and Technology Commission Z231100006023007National Natural Science Foundation of China (National Science Foundation of China) 12293052Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z220008
6 · The paper itself

Abstract

Manipulating optical spectra with complex spectral responses is central to high-performance photonic computing and sensing, but conventional integrated circuits typically increase features by cascading devices, which scales complexity linearly with cascade depth and is difficult to expand. Here, we introduce hyper-spectral photonic integrated circuits comprising a chain of interconnected reflective nodes. The central idea is to introduce partial reflectivity, thereby leveraging both transmissive and reflective interference within each component node. This architecture expands the accessible delay distribution and exhibits a superlinear complexity growth. We implement the circuits through a recursive inverse-design workflow that jointly exploits node geometry and circuit topology to maximize spectral complexity. Experimentally, a single waveguide incorporating 11 reflective nodes achieves a complexity comparable to at least 100 cascaded Mach-Zehnder interferometer stages. An array of these circuits reconstructs spectra with sub-picometer resolution across an 800 nm bandwidth. This performance bridges optical and microwave frequencies by enabling simultaneous monitoring of optical and radio signals within a single device.

Identifiers

PMID42711301
PMCPMC13554135

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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.