The explosive growth of data and its related energy consumption is pushing the need to develop energy-efficient brain-inspired schemes and materials for data processing and storage. Here, we demonstrate experimentally that Co/Pt films can be used as artificial synapses by manipulating their magnetization state using circularly polarized ultrashort optical pulses at room temperature. We also show an efficient implementation of supervised perceptron learning on an opto-magnetic neural network, built from such magnetic synapses. Importantly, we demonstrate that the optimization of synaptic weights can be achieved using a global feedback mechanism, such that the learning does not rely on external storage or additional optimization schemes. These results suggest that there is high potential for realizing artificial neural networks using optically controlled magnetization in technologically relevant materials, which can learn not only fast but also energy-efficient.
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13 May 2019
Research Article|
May 16 2019
Supervised learning of an opto-magnetic neural network with ultrashort laser pulses
A. Chakravarty;
A. Chakravarty
Radboud University, Institute for Molecules and Materials
, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
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J. H. Mentink
;
J. H. Mentink
a)
Radboud University, Institute for Molecules and Materials
, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
a)Authors to whom correspondence should be addressed: j.mentink@science.ru.nl and th.rasing@science.ru.nl
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C. S. Davies
;
C. S. Davies
Radboud University, Institute for Molecules and Materials
, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
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K. T. Yamada;
K. T. Yamada
Radboud University, Institute for Molecules and Materials
, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
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A. V. Kimel;
A. V. Kimel
Radboud University, Institute for Molecules and Materials
, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
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Th. Rasing
Th. Rasing
a)
Radboud University, Institute for Molecules and Materials
, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands
a)Authors to whom correspondence should be addressed: j.mentink@science.ru.nl and th.rasing@science.ru.nl
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a)Authors to whom correspondence should be addressed: j.mentink@science.ru.nl and th.rasing@science.ru.nl
Appl. Phys. Lett. 114, 192407 (2019)
Article history
Received:
January 03 2019
Accepted:
April 29 2019
Citation
A. Chakravarty, J. H. Mentink, C. S. Davies, K. T. Yamada, A. V. Kimel, Th. Rasing; Supervised learning of an opto-magnetic neural network with ultrashort laser pulses. Appl. Phys. Lett. 13 May 2019; 114 (19): 192407. https://doi.org/10.1063/1.5087648
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