SKM 2023 – scientific programme
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O: Fachverband Oberflächenphysik
O 70: Poster: Plasmonics and Nanooptics II
O 70.4: Poster
Wednesday, March 29, 2023, 18:00–20:00, P2/EG
Neuromorphic plasmonic computing - Surface plasmon polariton neurons — •Mario F. Pfeiffer1, Tobias Eul1, Eva Prinz1, Benjamin Stadtmüller1,2, and Martin Aeschlimann1 — 1Department of Physics and Research Center OPTIMAS, University of Kaiserslautern, Germany — 2Institute of Physics, Johannes Gutenberg University Mainz, Germany
Today, the classical electronic computer architecture is the limiting factor
for faster, and energy efficient data processing. In combination with the rapidly increasing use of artificial intelligence in science and industry, additional approaches
for a suitable hardware architecture are necessary. For this reason, neuromorphic
photonics emerged as a novel research field for new classes of information processing devices that incorporate photonically integrated neural networks [1].
The hybrid nature of surface plasmon polaritons (SPPs) combines photonic
advantages such as high bandwidth and speed with strong electronic
interactions. These properties have the potential to further advance the development of new
hardware. Here we present a concept
for building an artificial neuron based on SPP interactions. We have designed initial building blocks of the neuron based on finite-difference time-domain simulations of the plasmonic response. Finally, we imaged this response using a photoemission electron microscope.
[1] Shastri, B.J., Tait, A.N., Ferreira de Lima, T. et al., Nat. Photonics 15, 102-114 (2021)