Approximate analog computing with metatronic circuits

Mario Miscuglio; Yaliang Gui; Xiaoxuan Ma; Zhizhen Ma; Shuai Sun; Tarek El Ghazawi; Tatsuo Itoh; Andrea Alù; Volker J. Sorger

doi:10.1038/s42005-021-00683-4

Communications Physics (Aug 2021)

Approximate analog computing with metatronic circuits

Mario Miscuglio,
Yaliang Gui,
Xiaoxuan Ma,
Zhizhen Ma,
Shuai Sun,
Tarek El Ghazawi,
Tatsuo Itoh,
Andrea Alù,
Volker J. Sorger

Affiliations

Mario Miscuglio: Department of Electrical and Computer Engineering, The George Washington University
Yaliang Gui: Department of Electrical and Computer Engineering, The George Washington University
Xiaoxuan Ma: Department of Electrical and Computer Engineering, The George Washington University
Zhizhen Ma: Department of Electrical and Computer Engineering, The George Washington University
Shuai Sun: Department of Electrical and Computer Engineering, The George Washington University
Tarek El Ghazawi: Department of Electrical and Computer Engineering, The George Washington University
Tatsuo Itoh: Electrical Engineering Department, University of California
Andrea Alù: Department of Electrical Engineering, Grove School of Engineering, City College of New York
Volker J. Sorger: Department of Electrical and Computer Engineering, The George Washington University

DOI: https://doi.org/10.1038/s42005-021-00683-4
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 11

Abstract

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All-optical platforms hold potential for fast and efficient analog computing, but are limited by their size and poor reconfigurability. Here, a zero-index nanophotonic platform enables post-Moore’s law analog optical computing, processing data with high throughput and low-energy levels.

Published in Communications Physics

ISSN: 2399-3650 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Astronomy: Astrophysics; Science: Physics
Website: https://www.nature.com/commsphys/

About the journal