Universal Linear Optics Revisited: New Perspectives for Neuromorphic Computing with Silicon Photonics

• Published in: IEEE journal of selected topics in quantum electronics Vol. 29; no. 2: Optical Computing; pp. 1 - 16
• Main Authors: Giamougiannis, George, Tsakyridis, Apostolos, Moralis-Pegios, Miltiadis, Totovic, Angelina R., Kirtas, Manos, Passalis, Nikolaos, Tefas, Anastasios, Lazovsky, David, Pleros, Nikos
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial Intelligence; Circuits; Deep Learning; High speed; High-speed optical techniques; Integrated photonics; Linear operators; Linear optics; Linear transformations; Mathematical analysis; Matrices (mathematics); Matrix decomposition; Multiport interferometers; Neural networks; Neuromorphic computing; Neuromorphic photonics; Optical attenuators; Optical interferometry; Optical losses; Optics; Photonics; Reprogrammable photonic meshes; Silicon photonics; State-of-the-art reviews; Switches

Reprogrammable optical meshes comprise a subject of heightened interest for the execution of linear transformations, having a significant impact in numerous applications that extend from the implementation of optical switches up to neuromorphic computing. Herein, we review the state-of-the-art appro...