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Harnessing optoelectronic noises in a photonic generative network.

Publication ,  Journal Article
Wu, C; Yang, X; Yu, H; Peng, R; Takeuchi, I; Chen, Y; Li, M
Published in: Science advances
January 2022

Integrated optoelectronics is emerging as a promising platform of neural network accelerator, which affords efficient in-memory computing and high bandwidth interconnectivity. The inherent optoelectronic noises, however, make the photonic systems error-prone in practice. It is thus imperative to devise strategies to mitigate and, if possible, harness noises in photonic computing systems. Here, we demonstrate a photonic generative network as a part of a generative adversarial network (GAN). This network is implemented with a photonic core consisting of an array of programable phase-change memory cells to perform four-element vector-vector dot multiplication. The GAN can generate a handwritten number ("7") in experiments and full 10 digits in simulation. We realize an optical random number generator, apply noise-aware training by injecting additional noise, and demonstrate the network's resilience to hardware nonidealities. Our results suggest the resilience and potential of more complex photonic generative networks based on large-scale, realistic photonic hardware.

Duke Scholars

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Published In

Science advances

DOI

EISSN

2375-2548

ISSN

2375-2548

Publication Date

January 2022

Volume

8

Issue

3

Start / End Page

eabm2956
 

Citation

APA
Chicago
ICMJE
MLA
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Wu, C., Yang, X., Yu, H., Peng, R., Takeuchi, I., Chen, Y., & Li, M. (2022). Harnessing optoelectronic noises in a photonic generative network. Science Advances, 8(3), eabm2956. https://doi.org/10.1126/sciadv.abm2956
Wu, Changming, Xiaoxuan Yang, Heshan Yu, Ruoming Peng, Ichiro Takeuchi, Yiran Chen, and Mo Li. “Harnessing optoelectronic noises in a photonic generative network.Science Advances 8, no. 3 (January 2022): eabm2956. https://doi.org/10.1126/sciadv.abm2956.
Wu C, Yang X, Yu H, Peng R, Takeuchi I, Chen Y, et al. Harnessing optoelectronic noises in a photonic generative network. Science advances. 2022 Jan;8(3):eabm2956.
Wu, Changming, et al. “Harnessing optoelectronic noises in a photonic generative network.Science Advances, vol. 8, no. 3, Jan. 2022, p. eabm2956. Epmc, doi:10.1126/sciadv.abm2956.
Wu C, Yang X, Yu H, Peng R, Takeuchi I, Chen Y, Li M. Harnessing optoelectronic noises in a photonic generative network. Science advances. 2022 Jan;8(3):eabm2956.

Published In

Science advances

DOI

EISSN

2375-2548

ISSN

2375-2548

Publication Date

January 2022

Volume

8

Issue

3

Start / End Page

eabm2956