An optical neural chip for implementing complex-valued neural network

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...

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Bibliographic Details
Published in:	Nature communications 2021-01, Vol.12 (1), p.457-11, Article 457
Main 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.
Format:	Article
Language:	English
Subjects:	639/624/1075/1079 639/624/399/1099 639/766/1130/2799 Boolean algebra Computer applications Computers Datasets Digital computers Energy conversion efficiency Energy efficiency Handwriting recognition Humanities and Social Sciences Information processing Mathematics multidisciplinary Multiplication Neural networks Optical communication Science Science (multidisciplinary) Species classification Task complexity
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