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Title: Performing photonic nonlinear computations by linear operations in a high-dimensional space
Authors: Zhang, W
Gu, W
Cheng, J
Huang, D 
Cheng, Z 
Wai, PKA 
Zhou, H
Dong, J
Zhang, X
Issue Date: Jul-2023
Source: Nanophotonics, July 2023, v. 12, no. 15, p. 3189-3197
Abstract: As photonic linear computations are diverse and easy to realize while photonic nonlinear computations are relatively limited and difficult, we propose a novel way to perform photonic nonlinear computations by linear operations in a high-dimensional space, which can achieve many nonlinear functions different from existing optical methods. As a practical application, the arbitrary binary nonlinear computations between two Boolean signals are demonstrated to implement a programmable logic array. In the experiment, by programming the high-dimensional photonic matrix multiplier, we execute fourteen different logic operations with only one fixed nonlinear operation. Then the combined logic functions of half-adder and comparator are demonstrated at 10 Gbit/s. Compared with current methods, the proposed scheme simplifies the devices and the nonlinear operations for programmable logic computing. More importantly, nonlinear realization assisted by space transformation offers a new solution for optical digital computing and enriches the diversity of photonic nonlinear computing.
Keywords: Microring resonator
Optical digital computing
Silicon photonics
Publisher: Walter de Gruyter GmbH
Journal: Nanophotonics 
ISSN: 2192-8606
EISSN: 2192-8614
DOI: 10.1515/nanoph-2023-0234
Rights: © 2023 the author(s), published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
The following publication Zhang, Wenkai, Gu, Wentao, Cheng, Junwei, Huang, Dongmei, Cheng, Zihao, Wai, Ping-kong Alexander, Zhou, Hailong, Dong, Jianji and Zhang, Xinliang. "Performing photonic nonlinear computations by linear operations in a high-dimensional space" Nanophotonics, vol. 12, no. 15, 2023, pp. 3189-3197 is available at https://dx.doi.org/10.1515/nanoph-2023-0234.
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