Fiber Based Generic Photonic Computing Unit

Maya Yevnin, Eyal Cohen, Tomer Yanir, Zeev Zalevsky

Research output: Contribution to journalConference articlepeer-review

Abstract

We present a fiber-based photonic computing concept and system which rely on incoherent data encoding and scalable architecture. Our results suggest projected performance of >1,000,000 Tera operations per second (TOPs) and efficiency of >1000 TOPs/Watt.

Original languageEnglish
Article numberSTu5P.3
JournalOptics InfoBase Conference Papers
StatePublished - 2022
EventCLEO: Science and Innovations, S and I 2022 - San Jose, United States
Duration: 15 May 202220 May 2022

Bibliographical note

Publisher Copyright:
© Optica Publishing Group 2022, © 2022 The Author(s)

Funding

We wish to acknowledge the work of Victor Kopp and Dan Neugroschl from Chiral Photonics for fabricating the Er-doped multicore fiber device according to CogniFiber's specifications.

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