Programmable Photonics Using Dynamically Modulated Coupled Resonances

We introduce the platform for photonic computation using dynamically modulated coupled resonances. By realizing the interference between the couplings with tunable gauge fields, we implement reconfigurable and universal SU(2) time gates, which are the unit elements for achieving universal U(<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$N$</tex>) operations in an adaptable manner. In the talk, the application of the proposed platform to quantum gates and quantum-optical analogy as examples.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676823
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

Programmable Photonics Using Dynamically Modulated Coupled Resonances

Xian‐Ji Piao
Neural Networks and Reservoir Computing
article

Programmable Photonics Using Dynamically Modulated Coupled Resonances

Xian‐Ji Piao
article en

Abstract

We introduce the platform for photonic computation using dynamically modulated coupled resonances. By realizing the interference between the couplings with tunable gauge fields, we implement reconfigurable and universal SU(2) time gates, which are the unit elements for achieving universal U(<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$N$</tex>) operations in an adaptable manner. In the talk, the application of the proposed platform to quantum gates and quantum-optical analogy as examples.

University of Seoul (KR)
Affordable and clean energy
Openalex Percentile: Top 86%
Neural Networks and Reservoir Computing
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Programmable Photonics Using Dynamically Modulated Coupled Resonances — Xian‐Ji Piao · (2024) | TGRS Research Map | TGRS