Alessandro Fumarola, Pritish Narayanan, et al.
ICRC 2016
Data stored as volume holograms—optical interference patterns imprinted into a photosensitive storage material—can be accessed both by address and by content. An optical correlation-based search compares each input query against all stored records simultaneously, a massively parallel but inherently noisy analog process. With data encoding and signal postprocessing we demonstrate a holographic content-addressable data-storage system that searches digital data with high search fidelity. © 1999 Optical Society of America.
Alessandro Fumarola, Pritish Narayanan, et al.
ICRC 2016
Pritish Narayanan, Lucas L. Sanches, et al.
ISCAS 2017
Bryan L. Jackson, Bipin Rajendran, et al.
ACM JETC
Geoffrey W. Burr, Robert M. Shelby, et al.
IEDM 2014