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Conferences > CLEO_SI > 2022 > SS1D > SS1D.2

Cross-Gain Modulation-Based Reservoir Computing Using Membrane SOAs on Si-MZI

Takuma Tsurugaya, Tatsurou Hiraki, Takuma Aihara, Mitsumasa Nakajima, Koji Takeda, Toru Segawa, and Shinji Matsuo

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Abstract

We solve the Santa-Fe prediction task with reservoir computing utilizing cross-gain modulation in membrane semiconductor optical amplifiers (SOAs). SOAs are heterogeneously integrated on each arm of Si-based Mach-Zehnder interferometer to spatially separate the input/output ports.

© 2022 The Author(s)

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More Like This
Reservoir Computing with Low-Power-Consumption All-Optical Nonlinear Activation Using Membrane SOA on Si

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