Ndagano, B. , Defienne, H. , Branford, D., Shah, Y. D. , Lyons, A. , Westerberg, N. , Gauger, E. M. and Faccio, D. (2022) Quantum microscopy based on Hong-Ou-Mandel interference. Nature Photonics, 16(5), pp. 384-389. (doi: 10.1038/s41566-022-00980-6)
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Abstract
Hong–Ou–Mandel (HOM) interference—the bunching of indistinguishable photons at a beamsplitter—is a staple of quantum optics and lies at the heart of many quantum sensing approaches and recent optical quantum computers. Here we report a full-field, scan-free quantum imaging technique that exploits HOM interference to reconstruct the surface depth profile of transparent samples. We demonstrate the ability to retrieve images with micrometre-scale depth features with photon flux as small as seven photon pairs per frame. Using a single-photon avalanche diode camera, we measure both bunched and anti-bunched photon-pair distributions at the output of an HOM interferometer, which are combined to provide a lower-noise image of the sample. This approach demonstrates the possibility of HOM microscopy as a tool for the label-free imaging of transparent samples in the very low photon regime.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Defienne, Dr Hugo and Ndagano, Mr Bienvenu and Faccio, Professor Daniele and Shah, Dr Yash Diptesh and Westerberg, Dr Niclas and Lyons, Dr Ashley |
| Authors: | Ndagano, B., Defienne, H., Branford, D., Shah, Y. D., Lyons, A., Westerberg, N., Gauger, E. M., and Faccio, D. |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Journal Name: | Nature Photonics |
| Publisher: | Nature Research |
| ISSN: | 1749-4885 |
| ISSN (Online): | 1749-4893 |
| Published Online: | 11 April 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Nature Photonics 16(5): 384-389 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
| Related URLs: | |
| Data DOI: | 10.5525/gla.researchdata.1241 |
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