Nonlinear optoelectronic engine drives monolithic integrated photonic computing

Sha Zhu; Ning Hua Zhu

doi:10.1038/s41377-025-01970-3

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Nonlinear optoelectronic engine drives monolithic integrated photonic computing

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- Nonlinear optoelectronic engine drives monolithic integrated photonic computing
- Nonlinear optoelectronic engine drives monolithic integrated photonic computing
- Light: Science & Applications 2025年14卷第10期页码：2865-2867
- Affiliations：
  
  Institute of Intelligent Photonics, Nankai University, Tianjin, China
- Author bio：
  
  Ning Hua Zhu (nhzhu@nankai.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-01970-3
  中图分类号：
- 网络出版：2025-09-04，
  
  纸质出版：2025-10-31
- Accepted：
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Sha Zhu, Ning Hua Zhu. Nonlinear optoelectronic engine drives monolithic integrated photonic computing[J]. Light: Science & Applications, 2025,14(10):2865-2867.

Zhu, S. & Zhu, N. H. Nonlinear optoelectronic engine drives monolithic integrated photonic computing. Light: Science & Applications, 14, 2865-2867 (2025).
Sha Zhu, Ning Hua Zhu. Nonlinear optoelectronic engine drives monolithic integrated photonic computing[J]. Light: Science & Applications, 2025,14(10):2865-2867. DOI： 10.1038/s41377-025-01970-3.

Zhu, S. & Zhu, N. H. Nonlinear optoelectronic engine drives monolithic integrated photonic computing. Light: Science & Applications, 14, 2865-2867 (2025). DOI： 10.1038/s41377-025-01970-3.

摘要

Abstract

The rapidly growing computational demands of artificial intelligence (AI) and complex optimization tasks are increasingly straining conventional electronic architectures

driving the search for novel

energy-efficient processing paradigms. Photonic computing

which harnesses the unique properties of light to perform computation

has emerged as a compelling alternative. This perspective highlights a key advancement: a versatile nonlinear optoelectronic engine based on integrated photodetectors and micro-ring modulators (PD + MRM). This engine enables crucial functionalities like nonlinear activation and signal relay

forming a core building block for monolithic photonic processors. Its application in integrating optical Ising machines for optimization and optical recurrent neural networks (RNNs) for AI has been examined recently. The PD + MRM unit's inherent compactness

efficiency

and on-chip reconfigurable nonlinearity address historical photonic computing challenges

signaling a shift towards more versatile and scalable monolithic photonic processors.

关键词

Keywords

references

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