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The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

An optical neural chip for implementing complex-valued neural network

Open access
Zhang, H., Gu, M., Jiang, X. D., Thompson, J., Cai, H., Paesani, S., Santagati, R., Laing, A., Zhang, Y., Yung, M. H., Shi, Y. Z., Muhammad, F. K., Lo, G. Q., Luo, X. S., Dong, B., Kwong, D. L., Kwek, L. C., Liu, A. Q.·2021·Nature Communications

Abstract

Complex-valued neural networks have many advantages over their real-valued counterparts. Conventional digital electronic computing platforms are incapable of executing truly complex-valued representations and operations. In contrast, optical computing platforms that encode information in both phase and magnitude can execute complex arithmetic by optical interference, offering significantly enhanced computational speed and energy efficiency. However, to date, most demonstrations of optical neural networks still only utilize conventional real-valued frameworks that are designed for digital computers, forfeiting many of the advantages of optical computing such as efficient complex-valued operations. In this article, we highlight an optical neural chip (ONC) that implements truly complex-valued neural networks. We benchmark the performance of our complex-valued ONC in four settings: simple Boolean tasks, species classification of an Iris dataset, classifying nonlinear datasets (Circle and Spiral), and handwriting recognition. Strong learning capabilities (i.e., high accuracy, fast convergence and the capability to construct nonlinear decision boundaries) are achieved by our complex-valued ONC compared to its real-valued counterpart.

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Metadata

Authors
Zhang, H., Gu, M., Jiang, X. D., Thompson, J., Cai, H., Paesani, S., Santagati, R., Laing, A., Zhang, Y., Yung, M. H., Shi, Y. Z., Muhammad, F. K., Lo, G. Q., Luo, X. S., Dong, B., Kwong, D. L., Kwek, L. C., & Liu, A. Q.
Venue
Nature Communications
Published
2021-01-19
Volume
12
Issue
1
Pages
457-457
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3121141908
Cited by
666
References
59
FWCI
36.70
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: An optical neural chip for implementing complex-valued neural network. https://app.cochat.ai/papers/10.1038/s41467-020-20719-7
The paper
Zhang, H., Gu, M., Jiang, X. D., Thompson, J., Cai, H., Paesani, S., Santagati, R., Laing, A., Zhang, Y., Yung, M. H., Shi, Y. Z., Muhammad, F. K., Lo, G. Q., Luo, X. S., Dong, B., Kwong, D. L., Kwek, L. C., & Liu, A. Q. (2021). An optical neural chip for implementing complex-valued neural network. Nature Communications. https://doi.org/10.1038/s41467-020-20719-7

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.