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Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
Light: Science & Applications ( IF 20.6 ) Pub Date : 2022-07-06 , DOI: 10.1038/s41377-022-00903-8 Chao Zuo 1, 2, 3 , Qian Chen 3
中文翻译：
利用光学自由度进行衍射神经网络中的信息复用
Light: Science & Applications ( IF 20.6 ) Pub Date : 2022-07-06 , DOI: 10.1038/s41377-022-00903-8 Chao Zuo 1, 2, 3 , Qian Chen 3
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Exploiting internal degrees of freedom of light, such as polarization, provides efficient ways to scale the capacity of optical diffractive computing, which may ultimately lead to high-throughput, multifunctional all-optical diffractive processors that can execute a diverse range of tasks in parallel.
中文翻译：
利用光学自由度进行衍射神经网络中的信息复用
利用光的内部自由度（例如偏振）提供了扩展光学衍射计算能力的有效方法，这最终可能导致高吞吐量、多功能全光学衍射处理器，可以并行执行各种任务。
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