Here, we discuss the implementation of spatially as well as temporally multiplexed VCSEL neural networks and reservoirs, computation on the basis of excitable VCSELs as photonic spiking neurons, as well as concepts and advances in the fabrication of VCSELs and. Here, we discuss the implementation of spatially as well as temporally multiplexed VCSEL neural networks and reservoirs, computation on the basis of excitable VCSELs as photonic spiking neurons, as well as concepts and advances in the fabrication of VCSELs and. This PDF file contains the front matter associated with SPIE Proceedings Volume 13384, including the Title Page, Copyright information, Table of Contents, and Conference Committee information. Vertical-cavity surface-emitting lasers (VCSELs) having a small aperture and operating in a single. Owen-Newns, Dafydd and Zhang, Weikang and Alanis, Juan and Bueno, Julian and Robertson, Joshua and Hejda, Matej and Hurtado, Antonio; Costa, Manuel Filipe P. (2022) Photonic neuromorphic computing with vertical cavity surface emitting lasers. Despite their low manufacturing costs, diffraction-limited, narrow-band emission and excellent modulation capability, VCSELs were only used for optical data transmission. The vertical-cavity surface-emitting laser (VCSEL) is the preferred light source for high-speed and power-efficient short-reach optical intercon-nects (OIs) in high-performance computing systems, datacenters, and other short-range optical networks. The high-speed energy-efficient data transfer between cryogenic.
