4.6 Article

MXene-Based Broadband Ultrafast Nonlinear Activator for Optical Computing

Journal

ADVANCED OPTICAL MATERIALS
Volume 10, Issue 17, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adom.202200714

Keywords

MXene; nonlinear absorption; nonlinear activation function; optical computing; ultrafast carrier dynamics

Funding

  1. National Natural Science Foundation of China [61975221, U2001209, 61902076]
  2. Strategic Priority Research Program of Chinese Academy of Sciences [XDB43010303]

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In this study, optical nonlinear activators for ONNs are prepared by combining Ti3C2Tx MXene with microfibers, and their principles are verified. Experimental measurements show that the performance of the proposed activators in multiclassification and super-resolution reconstruction tasks is comparable to that of commonly used activation functions in computers. Four criteria are proposed and validated for evaluating the performance of the nonlinear activator.
Optical neural networks (ONNs) are particularly advantageous owing to their inherent parallelism and low energy consumption. However, one of the obstacles to the implementation of ONNs is the lack of optical nonlinearity. In this study, optical nonlinear activators for ONNs are prepared by combining Ti3C2Tx MXene with microfibers and their principles are verified. Activation functions obtained from experimental measurements are used to simulate multiclassification and super-resolution reconstruction tasks with performance comparable to that of activation functions commonly used in computers. Four necessary criteria are proposed and validated for evaluating the performance of the nonlinear activator: recovery time, deviation from linearity, the activation function close to identity mapping, and reconfigurability of the configuration. Theoretically, the nonlinear activator can compute 100 times faster than commonly used electronic computers and can be used as a nonlinear activation unit for ONNs to help the integration of ONNs with artificial intelligence.

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