Learning Bit-Gates With A Resonant Photonic Linear Neuron

Niekerk, Matthew van; Rizzo, Anthony; Rubio, Rivera, Hector; Leake, Gerald; Coleman, Daniel J.; Tison, Christopher C.; Fanto, Michael L.; Bergman, Keren; Preble, Stefan F.

doi:10.1364/fio.2022.jtu4a.54

Frontiers in Optics + Laser Science 2022 (FIO, LS) 2022

DOI: 10.1364/fio.2022.jtu4a.54

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Learning Bit-Gates With A Resonant Photonic Linear Neuron

Matthew van Niekerk¹,

Anthony Rizzo²,

Rivera, Hector Rubio³

et al.

Abstract: We present a new architecture for performing learning-based tasks directly on an integrated photonic chip. We experimentally realize logical 2-bit gates AND, OR, and XOR to accuracies of 96.8%, 99%, and 98.5%, respectively.

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Learning Bit-Gates With A Resonant Photonic Linear Neuron

Abstract: We present a new architecture for performing learning-based tasks directly on an integrated photonic chip. We experimentally realize logical 2-bit gates AND, OR, and XOR to accuracies of 96.8%, 99%, and 98.5%, respectively.

Cited by 0 publications

References 2 publications

No citations

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