Permutationally invariant quantum tomography.

@article{Tth2010PermutationallyIQ,
  title={Permutationally invariant quantum tomography.},
  author={G{\'e}za T{\'o}th and Witlef Wieczorek and David Gross and Roland Krischek and Christian Schwemmer and Harald Weinfurter},
  journal={Physical review letters},
  year={2010},
  volume={105 25},
  pages={
          250403
        }
}
We present a scalable method for the tomography of large multiqubit quantum registers. It acquires information about the permutationally invariant part of the density operator, which is a good approximation to the true state in many relevant cases. Our method gives the best measurement strategy to minimize the experimental effort as well as the uncertainties of the reconstructed density matrix. We apply our method to the experimental tomography of a photonic four-qubit symmetric Dicke state. 

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References

SHOWING 1-3 OF 3 REFERENCES

S3] See, for example, J.I

  • al, Phys. Rev. Lett.104,
  • 2010

Phys

  • Rep. 474, 1
  • 2009

Chuang,Quantum computation and quantum information

  • al, Phys. Rev. Lett.104,
  • 2010