Permutationally invariant state reconstruction

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Standard

Permutationally invariant state reconstruction. / Moroder, Tobias; Hyllus, Philipp; Tóth, Géza; Schwemmer, Christian; Niggebaum, Alexander; Gaile, Stefanie; Gühne, Otfried; Weinfurter, Harald.

In: New Journal of Physics, Vol. 14, No. 10, 2012, p. 105001.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Harvard

Moroder, T, Hyllus, P, Tóth, G, Schwemmer, C, Niggebaum, A, Gaile, S, Gühne, O & Weinfurter, H 2012, 'Permutationally invariant state reconstruction' New Journal of Physics, vol 14, no. 10, pp. 105001., 10.1088/1367-2630/14/10/105001

APA

Moroder, T., Hyllus, P., Tóth, G., Schwemmer, C., Niggebaum, A., Gaile, S., ... Weinfurter, H. (2012). Permutationally invariant state reconstruction. New Journal of Physics, 14(10), 105001. 10.1088/1367-2630/14/10/105001

CBE

Moroder T, Hyllus P, Tóth G, Schwemmer C, Niggebaum A, Gaile S, Gühne O, Weinfurter H. 2012. Permutationally invariant state reconstruction. New Journal of Physics. 14(10):105001. Available from: 10.1088/1367-2630/14/10/105001

MLA

Vancouver

Moroder T, Hyllus P, Tóth G, Schwemmer C, Niggebaum A, Gaile S et al. Permutationally invariant state reconstruction. New Journal of Physics. 2012;14(10):105001. Available from: 10.1088/1367-2630/14/10/105001

Author

Moroder, Tobias; Hyllus, Philipp; Tóth, Géza; Schwemmer, Christian; Niggebaum, Alexander; Gaile, Stefanie; Gühne, Otfried; Weinfurter, Harald / Permutationally invariant state reconstruction.

In: New Journal of Physics, Vol. 14, No. 10, 2012, p. 105001.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{5c22e8d588a3472684135ac90c49443f,
title = "Permutationally invariant state reconstruction",
keywords = "State reconstruction, quantum tomography , General statistical methods , Operator theory , Numerical optimization",
publisher = "Institute of Physics Publishing",
author = "Tobias Moroder and Philipp Hyllus and Géza Tóth and Christian Schwemmer and Alexander Niggebaum and Stefanie Gaile and Otfried Gühne and Harald Weinfurter",
year = "2012",
doi = "10.1088/1367-2630/14/10/105001",
volume = "14",
number = "10",
pages = "105001",
journal = "New Journal of Physics",
issn = "1367-2630",

}

RIS

TY - JOUR

T1 - Permutationally invariant state reconstruction

A1 - Moroder,Tobias

A1 - Hyllus,Philipp

A1 - Tóth,Géza

A1 - Schwemmer,Christian

A1 - Niggebaum,Alexander

A1 - Gaile,Stefanie

A1 - Gühne,Otfried

A1 - Weinfurter,Harald

AU - Moroder,Tobias

AU - Hyllus,Philipp

AU - Tóth,Géza

AU - Schwemmer,Christian

AU - Niggebaum,Alexander

AU - Gaile,Stefanie

AU - Gühne,Otfried

AU - Weinfurter,Harald

PB - Institute of Physics Publishing

PY - 2012

Y1 - 2012

N2 - Feasible tomography schemes for large particle numbers must possess, besides an appropriate data acquisition protocol, an efficient way to reconstruct the density operator from the observed finite data set. Since state reconstruction typically requires the solution of a nonlinear large-scale optimization problem, this is a major challenge in the design of scalable tomography schemes. Here we present an efficient state reconstruction scheme for permutationally invariant quantum state tomography. It works for all common state-of-the-art reconstruction principles, including, in particular, maximum likelihood and least squares methods, which are the preferred choices in today's experiments. This high efficiency is achieved by greatly reducing the dimensionality of the problem employing a particular representation of permutationally invariant states known from spin coupling combined with convex optimization, which has clear advantages regarding speed, control and accuracy in comparison to commonly employed numerical routines. First prototype implementations easily allow reconstruction of a state of 20 qubits in a few minutes on a standard computer.

AB - Feasible tomography schemes for large particle numbers must possess, besides an appropriate data acquisition protocol, an efficient way to reconstruct the density operator from the observed finite data set. Since state reconstruction typically requires the solution of a nonlinear large-scale optimization problem, this is a major challenge in the design of scalable tomography schemes. Here we present an efficient state reconstruction scheme for permutationally invariant quantum state tomography. It works for all common state-of-the-art reconstruction principles, including, in particular, maximum likelihood and least squares methods, which are the preferred choices in today's experiments. This high efficiency is achieved by greatly reducing the dimensionality of the problem employing a particular representation of permutationally invariant states known from spin coupling combined with convex optimization, which has clear advantages regarding speed, control and accuracy in comparison to commonly employed numerical routines. First prototype implementations easily allow reconstruction of a state of 20 qubits in a few minutes on a standard computer.

KW - State reconstruction, quantum tomography

KW - General statistical methods

KW - Operator theory

KW - Numerical optimization

U2 - 10.1088/1367-2630/14/10/105001

DO - 10.1088/1367-2630/14/10/105001

JO - New Journal of Physics

JF - New Journal of Physics

SN - 1367-2630

IS - 10

VL - 14

SP - 105001

ER -