Closing the Detection Loophole in the Triangle Network with High-Dimensional Photonic States

Bell nonlocality without input settings, .g., in the triangle network, has been perceived to be particularly fragile, with low robustness to noise in physical implementations. Here, we show to the contrary that nonlocality based on N00N states already for N=2 has an exceptionally high robustness to photon loss. For the dominant noise factor, single photon loss in the transmission channels, we can certify noise robustness up to 10% loss, while for a realistic noise model we use neural network-based heuristics to observe ∼50% robustness. Moreover we show that the robustness holds even for imperfect sources based on spontaneous parametric down-conversion sources, where the heralding information of the sources can be used to avoid any global postprocessing of the outcomes, such as discarding rounds when photons fail to arrive, and thus demonstrate how the detection loophole in the triangle network can be closed.

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Publication Details

Journal
Physical Review Letters
Published
2025-10-14
DOI
https://doi.org/10.1103/nwzw-tqzp
Citations
2
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
2.49
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article

Closing the Detection Loophole in the Triangle Network with High-Dimensional Photonic States

Tamás Kriváchy, Martin Kerschbaumer
2 citations
Physical Review Letters
Quantum Mechanics and Applications
2.49
article

Closing the Detection Loophole in the Triangle Network with High-Dimensional Photonic States

Tamás Kriváchy, Martin Kerschbaumer
article en
2 citations

Abstract

Bell nonlocality without input settings, .g., in the triangle network, has been perceived to be particularly fragile, with low robustness to noise in physical implementations. Here, we show to the contrary that nonlocality based on N00N states already for N=2 has an exceptionally high robustness to photon loss. For the dominant noise factor, single photon loss in the transmission channels, we can certify noise robustness up to 10% loss, while for a realistic noise model we use neural network-based heuristics to observe ∼50% robustness. Moreover we show that the robustness holds even for imperfect sources based on spontaneous parametric down-conversion sources, where the heralding information of the sources can be used to avoid any global postprocessing of the outcomes, such as discarding rounds when photons fail to arrive, and thus demonstrate how the detection loophole in the triangle network can be closed.

Physical Review LettersVol. 135(16)
University of Vienna (AT), TU Wien (AT), Institute of Photonic Sciences (ES), Shanghai Institute for Science of Science (CN), Barcelona Institute of Science and Technology (ES), Institute of Science and Technology
Openalex Percentile: Top 10%
Quantum Mechanics and Applications
2.49
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Closing the Detection Loophole in the Triangle Network with High-Dimensional Photonic States — Tamás Kriváchy, Martin Kerschbaumer · Physical Review Letters (2025) | TGRS Research Map | TGRS