Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators

Weipeng Zhang; Yuxin Wang; Joshua C. Lederman; Bhavin J. Shastri; Paul R. Prucnal

doi:10.1186/s43593-026-00122-3

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Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators

eLight 2026年6卷

Research Article | Updated：2026-03-16

- Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators
- Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators
- Affiliations：
- Author bio：
- Funds：
  
  National Science Foundation;Office of Naval Research;Defense Advanced Research Projects Agency;Natural Sciences and Engineering Research Council of Canada
- DOI：10.1186/s43593-026-00122-3
  中图分类号：
- 收稿：2025-09-03，
  
  修回：2026-01-05，
  
  录用：2026-01-12，
  
  网络首发：2026-02-09，
  
  纸质出版：2026-12
- Accepted：
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Weipeng Zhang, Yuxin Wang, Joshua C. Lederman, 等. Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators[J]. eLight, 2026,6.

Weipeng Zhang, Yuxin Wang, Joshua C. Lederman, et al. Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators[J]. eLight, 2026, 6.
Weipeng Zhang, Yuxin Wang, Joshua C. Lederman, 等. Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators[J]. eLight, 2026,6. DOI： 10.1186/s43593-026-00122-3.

Weipeng Zhang, Yuxin Wang, Joshua C. Lederman, et al. Compact, reconfigurable, and scalable photonic neurons by modulation-and-weighting microring resonators[J]. eLight, 2026, 6. DOI： 10.1186/s43593-026-00122-3.

摘要

Abstract

Neuromorphic photonics promises sub-nanosecond latency

ultrawide bandwidth

and high parallelism

but practical scalability is constrained by fabrication tolerances

spectral alignment

and tuning energy. Here

we present a large-scale

compact

and reconfigurable photonic neuron in which each microring performs modulation and weighting simultaneously. By exploiting both carrier and thermal tuning within a single device

this architecture reduces footprint

relaxes spectral alignment requirements to just two optical components

and yields a steep transfer response that lowers tuning energy. The proposed neuron supports multiple operating configurations

allowing its dynamical behavior to be adapted to different computational tasks. In particular

a short electrical feedback path enables recurrent operation

providing tunable short- and long-term memory for temporal processing. Using a 10-microring resonator ar

ray

we demonstrate both spatial and temporal computing

including a 3

$$$\times$$$

3 convolution for image processing with an error of

5% and high-frequency financial time-series prediction. Each modulation-weighting element occupies 80

$$$\times$$$

$$$\upmu$$$

$$$^2$$$

and consumes an average of 0.186 mW

corresponding to a compute density of 4.67 TOPS/

s/mm

$$$^2$$$

. Excluding electronic power

the on-chip tuning efficiency reaches approximately 105 TOPs/W

which is comparable to state-of-the-art implementations. These results indicate that modulation-and-weighting microring resonator banks provide a scalable building block for large-scale neuromorphic photonic systems

offering a favorable combination of compact footprint

low power consumption

and functional flexibility.

关键词

Keywords

references

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