Evidence map›Paper›PMID 41823066›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Spatial-Wavelength Multiplexing Error-Controlled Photonic Analog Computing System.

Tao Zhu, Bowen Zhu, Shicheng Zhang, Keren Li, Xianchen Wu, Yazhi Pi, Jie Yan, Daigao Chen, Bingli Guo, Xi Xiao and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

16 authors.

Tao ZhuPengcheng Laboratory, Shenzhen, China.ORCID https://orcid.org/0009-0000-4372-4859
Bowen ZhuPengcheng Laboratory, Shenzhen, China.
Shicheng ZhangSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Keren LiCollege of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China.
Xianchen WuSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Yazhi PiPengcheng Laboratory, Shenzhen, China.
Jie YanNational Optoelectronics Innovation Center, Wuhan, China.
Daigao ChenNational Optoelectronics Innovation Center, Wuhan, China.
Bingli GuoSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Xi XiaoPengcheng Laboratory, Shenzhen, China.
Lei WangPengcheng Laboratory, Shenzhen, China.
Xiaochuan XuPengcheng Laboratory, Shenzhen, China.ORCID https://orcid.org/0000-0003-3628-0166
Xuwei XueSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Shanguo HuangSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China.
Zizheng CaoCollege of Integrated Circuits, Zhejiang University, Hangzhou, China.
Shaohua YuPengcheng Laboratory, Shenzhen, China.

Funding

National Natural Science Foundation of China 62125103National Natural Science Foundation of China 62171059National Natural Science Foundation of China 62220106002National Natural Science Foundation of China 62401082National Talent ProgramPengcheng Laboratory Major Key Project
6 · The paper itself

Abstract

In the "post-Moore era," the growing challenges in traditional digital computing have driven renewed interest in analog computing. Photonic analog computing has emerged as an effective paradigm for overcoming the fundamental bottlenecks that constrain conventional analog accelerators, especially suited for high-speed signal processing and next-generation 5G/6G RF systems. However, existing photonic analog computing frameworks lack the flexibility required to accommodate diverse application scenarios. To address these challenges, a novel silicon photonic chip is proposed in this paper that leverages fully optical analog computation. This system features multichannel architectures to enable spatial multiplexing, a parallel array of four reconfigurable microring resonators performs wavelength division multiplexed differentiation computing. In addition, an FPGA-based error correction algorithm is developed to monitor processing operations in real time, ensuring the fidelity of computational results. Experimental demonstrations show the system's capability to solve ordinary differential equations and its applications in signal generation, coherent fiber communications, microwave photonics, and image feature detection. Taking into account the spectral utilization efficiency across the entire C-band, the theoretical on-chip processing capacity of single unit is evaluated to reach up to 2.725 tera operations per second, providing a novel hardware framework and innovative directions for photonic analog computing.

Indexed as

microwave photonicsoptical analog computingreliable computingsilicon photonic chip

Identifiers

PMID41823066
PMCPMC13185880

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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.