Projects per year
Abstract
Quantum light generated in non-degenerate squeezers has many applications such as sub-shot-noise transmission measurements to maximise the information extracted by one photon or quantum illumination to increase the probability in target detection. However, any application
thus far fails to consider the thermal characteristics of one half of the bipartite down-converted photon state often used in these experiments. We show here that a maximally mixed state, normally viewed as nuisance, can indeed be used to extract information about the position of an object while at the same time providing efficient camouflaging against other thermal or background light.
thus far fails to consider the thermal characteristics of one half of the bipartite down-converted photon state often used in these experiments. We show here that a maximally mixed state, normally viewed as nuisance, can indeed be used to extract information about the position of an object while at the same time providing efficient camouflaging against other thermal or background light.
Original language | English |
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Journal | Optics Express |
Publication status | Accepted/In press - 2020 |
Research Groups and Themes
- Bristol Quantum Information Institute
- QETLabs
- Photonics and Quantum
Fingerprint
Dive into the research topics of 'Quantum rangefinding'. Together they form a unique fingerprint.Projects
- 1 Finished
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QImaging2: Rework of Rework of Quantum Imaging Hub 2 EOI
Rarity, J. G. (Principal Investigator), Matthews, J. C. F. (Co-Investigator), McMillan, A. R. (Researcher), Joshi, S. K. (Researcher), Mueller, J. D. (Researcher), Samantaray, N. (Researcher), Wollmann, S. (Researcher), Rosenfeld, L. M. (Researcher), Faruque, I. I. (Researcher) & Torre, C. C. (Student)
1/12/19 → 30/11/24
Project: Research
Datasets
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Quantum Rangefinding
Frick, S. (Creator), McMillan, A. (Contributor) & Rarity, J. (Contributor), University of Bristol, 28 Sept 2020
DOI: 10.5523/bris.20ai8qdievrj02gr761ollvzzw, http://data.bris.ac.uk/data/dataset/20ai8qdievrj02gr761ollvzzw
Dataset