Bulletin of the American Physical Society
APS March Meeting 2024
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session N00: Poster Session II (11:30am-2:30pm CST)
11:30 AM,
Wednesday, March 6, 2024
Room: Hall BC
Sponsoring
Unit:
APS/SPS
Abstract: N00.00214 : The XY-model as a Neuromorphic System, trained via Equilibrium Propagation
Presenter:
Qingshan Wang
(Max Planck Institute for the Science of Light)
Authors:
Qingshan Wang
(Max Planck Institute for the Science of Light)
Clara Wanjura
(Max Planck Institute for Science of Light)
Florian Marquardt
(Friedrich-Alexander University Erlangen-)
In our work, we demonstrate that the XY model can be used as an energy-based neuromorphic system and that it can be trained using the recently introduced technique of equilibrium propagation, which is a local, physical algorithm for efficient gradient extraction. The trainability of the network and the validity of the algorithm are tested on the benchmark scenarios of XOR and handwritten digits recognition. Our results illustrate a new class of neuromorphic platforms for artificial intelligence, including systems like coupled laser arrays, coupled synchronizing mechanical oscillators, or magnetic systems.
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