Shainline, J.
, Buckley, S.
, McCaughan, A.
, Chiles, J.
, Mirin, R.
and Nam, S.
(2018),
Superconducting optoelectronic networks I: general principles, Physical Review Applied
(Accessed December 13, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Superconducting optoelectronic networks I: general principles
Published
Author(s)
, , , , ,
Abstract
The design of neural hardware is informed by the prominence of differentiated processing and information integration in cognitive systems. The central role of communication leads to the principal assumption of the hardware platform: signals between neurons should be optical to enable fanout and communication with minimal delay. The requirement of energy efficiency leads to the utilization of superconducting detectors to receive single-photon signals. We discuss the potential of superconducting optoelectronic hardware to achieve the power law spatial and temporal distributions advantageous for cognitive processing and we consider physical scaling limits based on light-speed communication. We introduce the superconducting optoelectronic neurons and networks which are the subject of the subsequent papers in this series.Citation
Physical Review Applied
Pub Type
Journals
Keywords
neural computing, superconductors, integrated photonics, cognition
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created April 6, 2018, Updated February 25, 2020