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Jones-matrix imaging based on two-photon interference

Yung Tsz Kit et al · Wiley · 2022

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Two-photon interference is an important effect that is tightly related to the quantum nature of light. Recently, it has been shown that the photon bunching from the Hong–Ou–Mandel (HOM) effect can be used for quantum imaging in which sample properties (reflection/transmission amplitude, phase delay, or polarization) can be characterized at the pixel-by-pixel level. In this work, we perform Jones matrix imaging for an unknown object based on two-photon interference. By using a reference metasurface with panels of known polarization responses in pairwise coincidence measurements, the object’s polarization responses at each pixel can be retrieved from the dependence of the coincidence visibility as a function of the reference polarization. The post-selection of coincidence images with specific reference polarization in our approach eliminates the need in switching the incident polarization and thus parallelized optical measurements for Jones matrix characterization. The parallelization in preparing input states, prevalent in any quantum algorithms, is an advantage of adopting two-photon interference in Jones matrix imaging. We believe our work points to the usage of metasurfaces in biological and medical imaging in the quantum optical regime.

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APA 7

al, Y. T. K. E. (2022). Jones-matrix imaging based on two-photon interference. https://doi.org/10.1515/nanoph-2022-0499

MLA

al, Yung Tsz Kit et. "Jones-matrix imaging based on two-photon interference." 2022. https://doi.org/10.1515/nanoph-2022-0499.

Chicago

al, Yung Tsz Kit et. 2022. "Jones-matrix imaging based on two-photon interference.". https://doi.org/10.1515/nanoph-2022-0499.

Harvard

al, Y. T. K. E. 2022, Jones-matrix imaging based on two-photon interference, Wiley, available at: https://doi.org/10.1515/nanoph-2022-0499 [Accessed 10 Aug. 2026].

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Title
Jones-matrix imaging based on two-photon interference
Author / contributors
Yung Tsz Kit et al
Publisher
Wiley
Publication year
2022
ISSN
2192-8606
ISSN
2192-8606
Language
English

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