| Issue |
EPJ Web Conf.
Volume 224, 2019
IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|
|
|---|---|---|
| Article Number | 04002 | |
| Number of page(s) | 7 | |
| Section | Machine Learning, Artificial Intelligence and High-Performance Computing | |
| DOI | https://doi.org/10.1051/epjconf/201922404002 | |
| Published online | 09 December 2019 | |
https://doi.org/10.1051/epjconf/201922404002
Structure and Implementation Principles of a Photonic Computer
Federal State Unitary Enterprise, Russian Federal Nuclear Center, All-Russian Research Institute of Experimental Physics, FSUE RFNC-VNIIEF, RU-607188, Sarov, Russia
* e-mail: ssa@vniief.ru
Published online: 9 December 2019
A structure and implementation principles of a photonic computer are proposed. Its operation is based on the effects of interaction between coherent light wave systems generated by a laser source. The performance of photonic computers, their power consumption, and physical dimensions are estimated. These estimates indicate a great potential advantage of photonic computers over electronic ones. In particular, analysis carried out in this study and the obtained estimates demonstrate that a photonic computer working on the light with a wavelength of 1530 can operate 104 – 105 times faster than up-to-date electronic computers with the same power consumption. Light waves of different wavelengths do not interact with each other. With a proper OLG implementation, several computations represented by light waves of different wavelengths can be run on a single photonic computer.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.