Intelligent photonic memory towards real-time decision making (Conference Presentation)

Volker J. Sorger

doi:10.1117/12.2559080

27 April 2020 Intelligent photonic memory towards real-time decision making (Conference Presentation)

Volker J. Sorger

Proceedings Volume 11419, Disruptive Technologies in Information Sciences IV; 1141905 (2020) https://doi.org/10.1117/12.2559080
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

If electro-optic conversion of current photonic NNs could be postponed until the very end of the network, then the execution time is simply the photon time-of-flight delay. Here we discuss a first design and performance of an all-optical perceptron and feed-forward NN. Key is the dual-purpose foundry-approved heterogeneous integration of phase-change-materials resulting in a) volatile nonlinear activation function (threshold) realized with ps-short optical pulses resulting in a non-equilibrium variation of the materials permittivity, and b) thermo-optically writing a non-volatile optical multi-cell (5-bit) memory for the NN weights after being (offline) trained. Once trained, the weights only required a rare update, thus saving power. Performance wise, such an integrated all-optical NN is capable of < fJ/MAC using experimental demonstrated pump-probe [Waldecker et al, Nat. Mat. 2015] with a delay per perceptron being ~ps [Miscuglio et al. Opt.Mat.Exp. 2018] has a high cascadability.

Conference Presentation

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Volker J. Sorger "Intelligent photonic memory towards real-time decision making (Conference Presentation)", Proc. SPIE 11419, Disruptive Technologies in Information Sciences IV, 1141905 (27 April 2020); https://doi.org/10.1117/12.2559080

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KEYWORDS

Picosecond phenomena

Electro optics

Thermography

Detection and tracking algorithms

Integrated photonics

Neural networks

Nonlinear optics

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