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• W4307244295 abstract "We consider passive imaging tasks involving discrimination between known candidate objects and investigate the best possible accuracy with which the correct object can be identified. We analytically compute quantum-limited error bounds for hypothesis tests on any library of incoherent, quasimonochromatic objects when the imaging system is dominated by optical diffraction. We further show that object-independent linear-optical spatial processing of the collected light exactly achieves these ultimate error rates, exhibiting scaling superior to spatially resolved direct imaging as the scene becomes more severely diffraction limited. We apply our results to example imaging scenarios and find conditions under which superresolution object discrimination can be physically realized." @default.
• W4307244295 created "2022-10-30" @default.
• W4307244295 creator A5042490016 @default.
• W4307244295 creator A5049404285 @default.
• W4307244295 date "2022-10-25" @default.
• W4307244295 modified "2023-10-16" @default.
• W4307244295 title "Identifying Objects at the Quantum Limit for Superresolution Imaging" @default.
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• W4307244295 doi "https://doi.org/10.1103/physrevlett.129.180502" @default.
• W4307244295 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36374688" @default.
• W4307244295 hasPublicationYear "2022" @default.
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