Object identification using correlated orbital angular momentum states.

Phys Rev Lett

Department of Electrical and Computer Engineering, Boston University, 8 Saint Marys Street, Boston, Massachusetts 02215, USA and Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA.

Published: January 2013

AI Article Synopsis

  • Researchers used spontaneous parametric down-conversion to generate pairs of correlated photons and investigated how these correlations change when an unknown object is present in one of the beams.
  • This study specifically measured off-diagonal elements of the orbital angular momentum (OAM) correlation matrix instead of traditional diagonal elements, revealing new terms that indicate the OAM of the signal and idler photons do not simply add up.
  • The findings suggest that using correlated OAM states can improve object identification efficiency, allowing for the detection of specific patterns like rotational symmetries with less computational effort than traditional imaging methods, paving the way for more advanced remote sensing technologies.

Article Abstract

Using spontaneous parametric down-conversion as a source of correlated photon pairs, correlations are measured between the orbital angular momentum (OAM) in a target beam (which contains an unknown object) and that in an empty reference beam. Unlike previous studies, the effects of the object on off-diagonal elements of the OAM correlation matrix are examined. Because of the presence of the object, terms appear in which the signal and idler OAM do not add up to that of the pump. Using these off-diagonal correlations, the potential for high-efficiency object identification by means of correlated OAM states is experimentally demonstrated for the first time. The higher-dimensional OAM Hilbert space enhances the information capacity of this approach, while the presence of the off-diagonal correlations allows for recognition of specific spatial signatures present in the object. In particular, this allows the detection of discrete rotational symmetries and the efficient evaluation of multiple azimuthal Fourier coefficients using fewer resources than in conventional pixel-by-pixel imaging. This represents a demonstration of sparse sensing using OAM states, as well as being the first correlated OAM experiment to measure properties of a real, stand-alone object, a necessary first step toward correlated OAM-based remote sensing.

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Source
http://dx.doi.org/10.1103/PhysRevLett.110.043601DOI Listing

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