Efficiently reconstructing compound objects by quantum imaging with higher-order correlation functions

Mikhalychev, A. B.; Bessire, B.; Karuseichyk, I. L.; Sakovich, A. A.; Unternährer, M.; Lyakhov, D. A.; Michels, D. L.; Stefanov, A.; Mogilevtsev, D. (2019). Efficiently reconstructing compound objects by quantum imaging with higher-order correlation functions. Communications Physics, 2(1) Springer Nature 10.1038/s42005-019-0234-5

[img] Text
s42005-019-0234-5.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy

Quantum imaging has a potential of enhancing the precision of objects reconstruction by exploiting quantum correlations of the imaging field, in particular for imaging with low-intensity fields up to the level of a few photons. However, it generally leads to nonlinear estimation problems. The complexity of these problems rapidly increases with the number of parameters describing the object and the correlation order. Here we propose a way to drastically reduce the complexity for a wide class of problems. The key point of our approach is to connect the features of the Fisher information with the parametric locality of the problem, and to reconstruct the whole set of parameters stepwise by an efficient iterative inference scheme that is linear on the total number of parameters. This general inference procedure is experimentally applied to quantum near-field imaging with higher-order correlated light sources, resulting in super-resolving reconstruction of grey compound transmission objects.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Applied Physics
08 Faculty of Science > Institute of Applied Physics > Lasers

UniBE Contributor:

Stefanov, André

Subjects:

600 Technology > 620 Engineering
500 Science > 530 Physics

ISSN:

2399-3650

Publisher:

Springer Nature

Language:

English

Submitter:

André Stefanov

Date Deposited:

11 Apr 2022 14:08

Last Modified:

11 Apr 2022 14:08

Publisher DOI:

10.1038/s42005-019-0234-5

BORIS DOI:

10.48350/168911

URI:

https://boris.unibe.ch/id/eprint/168911

Actions (login required)

Edit item Edit item
Provide Feedback