Combined spatially and temporally multiplexed photonic reservoir computer with a diffractively coupled VCSEL-array

• DOI: 10.1088/2515-7647/aea5c1

We report and analyse the classification performance of an experimental hybrid spatio-temporal photonic reservoir computer based upon a free-space vertical-cavity surface-emitting laser array. We demonstrate experimentally the enhancement of spatial-only reservoir operation, featuring the diffractive coupling of lasers in an external cavity, by exploiting up to 88 virtual nodes with time multiplexing. We analyse the dependence of performance on the spatial and virtual node number, and achieve an improvement for both spatial- and temporal-only reservoirs with a reduced test error of 0.026 in a classification task. Further, given the high bandwidth of the non-linear laser transformation, we demonstrate the expansion of an 11 spatial node network to a 968 node network, operating at an input time of 17.6 ns, maintaining high processing speed and improving network scalability and performance.

• Article complet

Related research projects

POSTDIGITALPlus

European Training Network on Post-Digital Computing +

I.P.: Miguel C. Soriano, Claudio Mirasso

The modern information and communication technology (ICT) world is ruled by an exploding generation of data due to growth of Internet applications and skyrocketing proliferation of a number of interconnected on-line broadband …

INFOLANET

Information processing with coupled laser networks

I.P.: Apostolos Argyris, Miguel C. Soriano

In the INFOLANET project, we will combine the expertise of the PIs on dynamical systems and machine learning to advance information processing concepts, based on a high-speed photonic implementation. We anticipate that …

MdM-IFISC-2

Maria de Maeztu 2023-2026

I.P.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini

After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an …