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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.

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Playback language: English
Abstract
This paper experimentally demonstrates two super-resolution imaging tasks using hypothesis testing and quantum metrology. It significantly reduces the error probability in detecting a weak secondary source, even with small separations. Using a simple interferometer, the setup's optimality for state discrimination and its ability to super-resolve angular separation between equally bright sources are shown. With a 5.3 mm baseline, it resolves sources 15 µm apart at 1.0 m with 1.7% accuracy—a three-order-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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