Arbitrary linear transformations for photons in the frequency synthetic dimension

Arbitrary linear transformations are of crucial importance in a plethora of photonic applications spanning classical signal processing, communication systems, quantum information processing and machine learning. Here, we present a photonic architecture to achieve arbitrary linear transformations by...

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Veröffentlicht in:Nature communications 2021-04, Vol.12 (1), p.2401-2401, Article 2401
Hauptverfasser: Buddhiraju, Siddharth, Dutt, Avik, Minkov, Momchil, Williamson, Ian A. D., Fan, Shanhui
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Sprache:eng
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Zusammenfassung:Arbitrary linear transformations are of crucial importance in a plethora of photonic applications spanning classical signal processing, communication systems, quantum information processing and machine learning. Here, we present a photonic architecture to achieve arbitrary linear transformations by harnessing the synthetic frequency dimension of photons. Our structure consists of dynamically modulated micro-ring resonators that implement tunable couplings between multiple frequency modes carried by a single waveguide. By inverse design of these short- and long-range couplings using automatic differentiation, we realize arbitrary scattering matrices in synthetic space between the input and output frequency modes with near-unity fidelity and favorable scaling. We show that the same physical structure can be reconfigured to implement a wide variety of manipulations including single-frequency conversion, nonreciprocal frequency translations, and unitary as well as non-unitary transformations. Our approach enables compact, scalable and reconfigurable integrated photonic architectures to achieve arbitrary linear transformations in both the classical and quantum domains using current state-of-the-art technology. Photonic processors that can perform arbitrary tasks are in demand for many applications. Here, the authors present a photonic architecture using waveguide and resonator couplings to perform arbitrary linear transformations, by taking advantage of the frequency synthetic dimension.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-021-22670-7