Thursday, April 5, 2012

1204.0792 (Olivier Landon-Cardinal et al.)

Practical learning method for multi-scale entangled states    [PDF]

Olivier Landon-Cardinal, David Poulin
We describe a method for reconstructing multi-scale entangled states from a small number of efficiently-implementable measurements and fast post-processing. The method only requires single particle measurements and the total number of measurements is polynomial in the number of particles. Data post-processing for state reconstruction uses standard tools, namely matrix diagonalisation and conjugate gradient method, and scales polynomially with the number of particles. Our method prevents the build-up of errors from both numerical and experimental imperfections.
View original: http://arxiv.org/abs/1204.0792

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