Phys.org October 23, 2024
A typical approach to photonic processing is to multiply a rapidly changing optical input vector with a matrix of fixed optical weights. However, encoding these weights on-chip using an array of photonic memory cells is currently limited by a wide range of material- and device-level issues, such as the programming speed, extinction ratio and endurance, among others. An international team of researchers (USA – UC Santa Barbara, University of Pittsburg, Italy, Japan) proposed a new approach to encoding optical weights for in-memory photonic computing using magneto-optic memory cells comprising heterogeneously integrated cerium-substituted yttrium iron garnet (Ce:YIG) on silicon micro-ring resonators… read more. Open Access TECHNICAL ARTICLE
A concept image of the group’s photonic in-memory computing. Credit: Brian Long, Senior Artist, UCSB Credit: Nature Photonics, 23 October 2024