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This research demonstrates how reduced spatial-mode demultiplexing (SPADE) can robustly discriminate incoherent point sources against significant background noise, effectively approaching the quantum limit even at a high signal-to-noise ratio of 0.11 per pixel. By concentrating source information into minimal detection modes, this technique outperforms traditional direct imaging across all separations and offers practical advantages for noisy environments like astronomical observations and quantum sensing.
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Noise-robust discrimination of incoherent point sources with spatial-mode demultiplexing

arXiv2 min read

arXiv:2608.01765v1 Announce Type: new Abstract: We theoretically predict and experimentally demonstrate that a reduced spatial-mode demultiplexing (SPADE) measurement using only the two lowest-order Hermite-Gaussian modes exhibits remarkable robustness against background noise in discriminating between a single source and two incoherent point sources. We establish a theoretical framework incorporating uniform background noise and derive an analytical Chernoff exponent expression, showing that SPADE consistently outperforms direct imaging (DI) across all source separations. Experimental results confirm that SPADE-based hypothesis testing approaches the quantum limit even when the background-to-signal photon ratio per pixel is 0.11. This advantage stems from SPADE's ability to concentrate source information into minimal detection modes, reducing the cumulative background noise impact. Our findings provide a practical detection scheme for applications where background noise is inevitable, such as astronomical observations and quantum sensing.

Abstract:We theoretically predict and experimentally demonstrate that a reduced spatial-mode demultiplexing (SPADE) measurement using only the two lowest-order Hermite-Gaussian modes exhibits remarkable robustness against background noise in discriminating between a single source and two incoherent point sources. We establish a theoretical framework incorporating uniform background noise and derive an analytical Chernoff exponent expression, showing that SPADE consistently outperforms direct imaging (DI) across all source separations. Experimental results confirm that SPADE-based hypothesis testing approaches the quantum limit even when the background-to-signal photon ratio per pixel is 0.11. This advantage stems from SPADE's ability to concentrate source information into minimal detection modes, reducing the cumulative background noise impact. Our findings provide a practical detection scheme for applications where background noise is inevitable, such as astronomical observations and quantum sensing.

arXiv:2608.01765 [quant-ph]

(or arXiv:2608.01765v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.01765 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 218 words

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