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Performing photonic nonlinear computations by linear operations in a high-dimensional space

Zhang Wenkai et al · Wiley · 2023

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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.

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APA 7

al, Z. W. E. (2023). Performing photonic nonlinear computations by linear operations in a high-dimensional space. https://doi.org/10.1515/nanoph-2023-0234

MLA

al, Zhang Wenkai et. "Performing photonic nonlinear computations by linear operations in a high-dimensional space." 2023. https://doi.org/10.1515/nanoph-2023-0234.

Chicago

al, Zhang Wenkai et. 2023. "Performing photonic nonlinear computations by linear operations in a high-dimensional space.". https://doi.org/10.1515/nanoph-2023-0234.

Harvard

al, Z. W. E. 2023, Performing photonic nonlinear computations by linear operations in a high-dimensional space, Wiley, available at: https://doi.org/10.1515/nanoph-2023-0234 [Accessed 7 Aug. 2026].

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Title
Performing photonic nonlinear computations by linear operations in a high-dimensional space
Author / contributors
Zhang Wenkai et al
Publisher
Wiley
Publication year
2023
ISSN
2192-8614
ISSN
2192-8614
Language
English

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