Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks

Amin Shafiee; Benoit Charbonnier; Mahdi Nikdast; Sanmitra Banerjee; Sudeep Pasricha

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Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks

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arxiv 2309.06579 v1 pith:EF3TE2NV submitted 2023-08-18 cs.ET physics.app-ph

Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks

Amin Shafiee , Sanmitra Banerjee , Benoit Charbonnier , Sudeep Pasricha , Mahdi Nikdast This is my paper

classification cs.ET physics.app-ph

keywords photoniccrosstalklossnetworksneuralpnnsaccuracychange

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We present an optimized Mach-Zehnder Interferometer (MZI) with phase change materials for photonic neural networks (PNNs). With 0.2 dB loss, -38 dB crosstalk, and length of 52 micrometer, the designed MZI significantly improves the scalability and accuracy of PNNs under loss and crosstalk.

Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks

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