Variational quantum tomography with incomplete information by means of semidefinite programs

Details Variational quantum tomography with incomplete information by means of semidefinite programs Variational quantum tomography with incomplete information by means of semidefinite programs

2010-01-12

arxiv.org/abs/1001.1793v5

International Journal of Modern Physics C, Vol. 22, No. 12 (2011) 1-12

Physics

Quantum Physics

8 pages, 6 figures. In the previous version there was a mistake about lower bounds to arbitrary expectation values. It is now

Scientific paper

10.1142/S0129183111016981

We introduce a new method to reconstruct unknown quantum states out of incomplete and noisy information. The method is a linear convex optimization problem, therefore with a unique minimum, which can be efficiently solved with Semidefinite Programs. Numerical simulations indicate that the estimated state does not overestimate purity, and neither the expectation value of optimal entanglement witnesses. The convergence properties of the method are similar to compressed sensing approaches, in the sense that, in order to reconstruct low rank states, it needs just a fraction of the effort correspondig to an informationally complete measurement.

Affiliated with

Also associated with

No associations

Rating

Variational quantum tomography with incomplete information by means of semidefinite programs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Variational quantum tomography with incomplete information by means of semidefinite programs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Variational quantum tomography with incomplete information by means of semidefinite programs will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-458878