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  Efficient algorithm for optimizing data-pattern tomography

Motka, L., Stoklasa, B., Rehacek, J., Hradil, Z., Karasek, V., Mogilevtsev, D., et al. (2014). Efficient algorithm for optimizing data-pattern tomography. PHYSICAL REVIEW A, 89(5): 054102. doi:10.1103/PhysRevA.89.054102.

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 Creators:
Motka, L.1, Author
Stoklasa, B.1, Author
Rehacek, J.1, Author
Hradil, Z.1, Author
Karasek, V.1, Author
Mogilevtsev, D.1, Author
Harder, G.1, Author
Silberhorn, C.2, Author           
Sanchez-Soto, L. L.3, Author           
Affiliations:
1external, ou_persistent22              
2Silberhorn Research Group, Research Groups, Max Planck Institute for the Science of Light, Max Planck Society, ou_2364718              
3Guests, Max Planck Institute for the Science of Light, Max Planck Society, ou_2364696              

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Free keywords: QUANTUM MEASUREMENTOptics; Physics;
 Abstract: We give a detailed account of an efficient search algorithm for the data-pattern tomography proposed by J. Rehacek, D. Mogilevtsev, and Z. Hradil [Phys. Rev. Lett. 105, 010402 (2010)], where the quantum state of a system is reconstructed without a priori knowledge about the measuring setup. The method is especially suited for experiments involving complex detectors, which are difficult to calibrate and characterize. We illustrate the approach with the case study of the homodyne detection of a nonclassical photon state.

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Language(s): eng - English
 Dates: 2014
 Publication Status: Published online
 Pages: 5
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: PHYSICAL REVIEW A
Source Genre: Journal
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Publ. Info: ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA : AMER PHYSICAL SOC
Pages: - Volume / Issue: 89 (5) Sequence Number: 054102 Start / End Page: - Identifier: ISSN: 1050-2947