Scalable Reconstruction of Density Matrices

T. Baumgratz, D. Gross, M. Cramer, and M. B. Plenio
Phys. Rev. Lett. 111, 020401 – Published 11 July 2013
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Abstract

Recent contributions in the field of quantum state tomography have shown that, despite the exponential growth of Hilbert space with the number of subsystems, tomography of one-dimensional quantum systems may still be performed efficiently by tailored reconstruction schemes. Here, we discuss a scalable method to reconstruct mixed states that are well approximated by matrix product operators. The reconstruction scheme only requires local information about the state, giving rise to a reconstruction technique that is scalable in the system size. It is based on a constructive proof that generic matrix product operators are fully determined by their local reductions. We discuss applications of this scheme for simulated data and experimental data obtained in an ion trap experiment.

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  • Received 6 July 2012

DOI:https://doi.org/10.1103/PhysRevLett.111.020401

© 2013 American Physical Society

Authors & Affiliations

T. Baumgratz1,2, D. Gross3, M. Cramer1,2, and M. B. Plenio1,2

  • 1Institut für Theoretische Physik, Albert-Einstein-Allee 11, Universität Ulm, 89069 Ulm, Germany
  • 2Center for Integrated Quantum Science and Technology, Universität Ulm, 89069 Ulm, Germany
  • 3Physikalisches Institut, Hermann-Herder-Straße 3, Albert-Ludwigs Universität Freiburg, 79104 Freiburg, Germany

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Issue

Vol. 111, Iss. 2 — 12 July 2013

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