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Exploring the optimal sensitivity of sum-variance nonseparability criteria for spin-12systems
Author(s) -
Irfan Khan,
John C. Howell
Publication year - 2004
Publication title -
physical review a
Language(s) - English
Resource type - Journals
eISSN - 1094-1622
pISSN - 1050-2947
DOI - 10.1103/physreva.70.062320
Subject(s) - sensitivity (control systems) , physics , quantum entanglement , noise (video) , variance (accounting) , measure (data warehouse) , spin (aerodynamics) , bell's theorem , inequality , algorithm , statistics , statistical physics , quantum mechanics , data mining , artificial intelligence , computer science , mathematical analysis , thermodynamics , mathematics , accounting , electronic engineering , engineering , business , image (mathematics) , quantum
We report on experimental and theoretical studies on recently introduced entanglement measures which use a sum of spin-variance criteria for two spin-$1∕2$ particles. Three inequalities are explored which exhibit useful concatenating properties. They are each shown to have greater sensitivities than a Bell's measurement, while each requiring fewer measurements than a Bell's measurement to obtain. The simplest inequality, requiring just four measurements, is shown to be efficient at testing for entanglement in down-conversion sources which naturally exhibit maximally polarized noise. The most complex inequality, requiring just 12 measurements, is shown to have a sensitivity equal to that of the Peres separability criterion for maximally polarized and Werner noise. This increased sensitivity implies optimality of the measure.

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