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Optical quantum super-resolution imaging and hypothesis testing

Physics

Optical quantum super-resolution imaging and hypothesis testing

U. Zanforlin, C. Lupo, et al.

This groundbreaking research by Ugo Zanforlin, Cosmo Lupo, Peter W. R. Connolly, Pieter Kok, Gerald S. Buller, and Zixin Huang showcases the incredible potential of super-resolution imaging tasks through hypothesis testing and quantum metrology, achieving an unprecedented accuracy in resolving closely spaced sources.... show more
Abstract
Estimating the angular separation between two incoherent thermal sources is a challenging task for direct imaging, especially at lengths within the diffraction limit. Moreover, detecting the presence of multiple sources of different brightness is an even more severe challenge. We experimentally demonstrate two tasks for super-resolution imaging based on hypothesis testing and quantum metrology techniques. We can significantly reduce the error probability for detecting a weak secondary source, even for small separations. We reduce the experimental complexity to a simple interferometer: we show (1) our set-up is optimal for the state discrimination task, and (2) if the two sources are equally bright, then this measurement can super-resolve their angular separation. Using a collection baseline of 5.3 mm, we resolve the angular separation of two sources placed 15 µm apart at a distance of 1.0 m with a 1.7% accuracy—an almost 3-orders-of-magnitude improvement over shot-noise limited direct imaging.
Publisher
Nature Communications
Published On
Sep 13, 2022
Authors
Ugo Zanforlin, Cosmo Lupo, Peter W. R. Connolly, Pieter Kok, Gerald S. Buller, Zixin Huang
Tags
super-resolution imaging
quantum metrology
hypothesis testing
error probability
interferometer
angular separation
direct imaging
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