Coherent multi-frequency photonic activation function

Grigorii Slinkov; Steven Becker; Dirk Englund; Birgit Stiller

doi:10.1117/12.3017756

18 June 2024 Coherent multi-frequency photonic activation function

Grigorii Slinkov, Steven Becker, Dirk Englund, Birgit Stiller

Proceedings Volume PC13017, Machine Learning in Photonics; PC130170J (2024) https://doi.org/10.1117/12.3017756
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

The advent of photonic neural networks posed a challenge of designing an activation function that would unlock the full potential of photonics (low-latency, energy-efficiency, WDM) for machine learning applications. In this work we demonstrate a coherent, multi-frequency photonic nonlinear activation function based on stimulated Brillouin scattering . These properties not only make it compatible with existing MZI mesh-based phase-reliant optical matrix multiplication schemes, but also facilitate resource-efficient frequency-basis information encoding. Our design features all-optical activation function shape tuning and is capable of providing net gain, compensating for insertion losses.

Conference Presentation

Citation Download Citation

Grigorii Slinkov, Steven Becker, Dirk Englund, and Birgit Stiller "Coherent multi-frequency photonic activation function", Proc. SPIE PC13017, Machine Learning in Photonics, PC130170J (18 June 2024); https://doi.org/10.1117/12.3017756

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