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Experimental reservoir computing with diffractively coupled VCSELs

Authors: Pflüger, Moritz; Brunner, Daniel; Heuser, Tobias; Lott, James A.; Reitzenstein, Stephan; Fischer, Ingo;

Experimental reservoir computing with diffractively coupled VCSELs

Abstract

We present experiments on reservoir computing (RC) using a network of vertical-cavity surface-emitting lasers (VCSELs) that we diffractively couple via an external cavity. Our optical reservoir computer consists of 24 physical VCSEL nodes. We evaluate the system's memory and solve the 2-bit XOR task and the 3-bit header recognition (HR) task with bit error ratios (BERs) below 1% and the 2-bit digital-to-analog conversion (DAC) task with a root mean square error (RMSE) of 0.067.

Agencia Estatal de Investigación (CEX2021-001164-M); Volkswagen Foundation (NeuroQNet I, NeuroQNet II); Deutsche Forschungsgemeinschaft (SFB787).

With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001164-M).

No

Keywords

cs.ET, Physics - Optics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average