Singular spectrum analysis of two-photon interference from distinct quantum emitters

Year: 2023

Authors: Duquennoy R., Colautti M., Lombardi P., Berardi V., Gianani I., Toninelli C., Barbieri M.

Autors Affiliation: Univ Napoli, Dipartimento Fis, Via Cinthia 21, I-80126 Fuorigrotta, Italy; Ist Nazl Ott CNR CNR INO, Via Nello Carrara 1, I-50019 Sesto Fiorentino, Italy; European Lab Nonlinear Spect LENS, Via Nello Carrara 1, I-50019 Sesto Fiorentino, Italy; Politecn Bari, Dipartimento Interateneo Fis, Via Orabona 4, I-70126 Bari, Italy; Univ Roma Tre, Dipartimento Sci, Via Vasca Navale 84, I-00146 Rome, Italy.

Abstract: Two-photon interference underlies the functioning of many quantum photonics devices. It also serves as the prominent tool for testing the indistinguishability of distinct photons. However, as their time-spectral profile becomes more involved, extracting relevant parameters, foremost the central frequency difference, may become difficult. In a parametric approach, these arise from the need for an exhaustive model combined with limited count statistics. Here we discuss a solution to curtail these effects on the evaluation of frequency separation relying on a semiparametric method. The time trace of the quantum interference pattern of two photons from two independent solid-state emitters is preprocessed by means of singular spectral analysis before inspecting its spectral content. This approach allows one to single out the relevant oscillations from both the envelope and the noise, without resorting to fitting. This opens the way for robust and efficient on-line monitoring of quantum emitters.

Journal/Review: PHYSICAL REVIEW RESEARCH

Volume: 5 (2)      Pages from: 23191-1  to: 23191-12

More Information: This work was funded by the EC under the FET-OPEN-RIA project STORMYTUNE (Grant No. 899587). C.T. acknowledges financial support from the PNRR MUR project PE0000023-NQSTI and from the EMPIR programme (Project No. 20FUN05, SEQUME), cofinanced by the Participating States and by the European Union’s Horizon 2020 Research and Innovation Programme. M.B. thanks F. Albarelli, V. Giovannetti, M. A. G. Paris, and L. L. Sanchez-Soto for discussion.
KeyWords: Diffusion; Spin
DOI: 10.1103/PhysRevResearch.5.023191

ImpactFactor: 3.500
Citations: 3
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-11-24
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