2023
DOI: 10.48550/arxiv.2301.02850
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Programmable wave-based analog computing machine: a metastructure that designs metastructures

Abstract: The ability to perform mathematical computations using metastructures is an emergent paradigm that carries the potential of wave-based analog computing to the realm of near-speed-of-light, low-loss, compact devices. We theoretically introduce and experimentally verify the concept of a reconfigurable metastructure that performs analog complex mathematical computations using electromagnetic waves. Reconfigurable, RF-based components endow our device with the ability to perform stationary and non-stationary itera… Show more

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Cited by 3 publications
(2 citation statements)
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“…8d) 121 . These GHz wave processors can be reconfigured to perform a range of tasks ranging from matrix inversion 151 to image classification and information encoding/decoding 152 . The ability to conduct fully-programmable field synthesis is also valuable for beamforming and holographic image projection applications 153 .…”
Section: Tunability and Reconfigurabilitymentioning
confidence: 99%
“…8d) 121 . These GHz wave processors can be reconfigured to perform a range of tasks ranging from matrix inversion 151 to image classification and information encoding/decoding 152 . The ability to conduct fully-programmable field synthesis is also valuable for beamforming and holographic image projection applications 153 .…”
Section: Tunability and Reconfigurabilitymentioning
confidence: 99%
“…media known as metamaterials offer a powerful platform for building analog optical computers. In recent work, his team demonstrated a metamaterial platform that could be mass produced and integrated with silicon electronics [1], as well as an approach for building architectures that could be reprogrammed in real time to perform different computing tasks [2]. Metamaterial-based analog optical computers may one day perform certain tasks much faster and with less power than conventional computers, says Engheta.…”
Section: Credit: N M Estakhri Et Al Science 363 1333 (2019)mentioning
confidence: 99%