A1 Refereed original research article in a scientific journal
Stable pure state quantum tomography from five orthonormal bases
Authors: Carmeli C, Heinosaari T, Kech M, Schultz J, Toigo A
Publisher: EPL ASSOCIATION, EUROPEAN PHYSICAL SOCIETY
Publication year: 2016
Journal: EPL
Journal name in source: EPL
Journal acronym: EPL-EUROPHYS LETT
Article number: ARTN 30001
Volume: 115
Issue: 3
Number of pages: 6
ISSN: 0295-5075
DOI: https://doi.org/10.1209/0295-5075/115/30001
Abstract
For any finite-dimensional Hilbert space, we construct explicitly five orthonormal bases such that the corresponding measurements allow for efficient tomography of an arbitrary pure quantum state. This means that such measurements can be used to distinguish an arbitrary pure state from any other state, pure or mixed, and the pure state can be reconstructed from the outcome distribution in a feasible way. The set of measurements we construct is independent of the unknown state, and therefore our results provide a fixed scheme for pure state tomography, as opposed to the adaptive (state-dependent) scheme proposed by Goyeneche et al. (Phys. Rev. Lett., 115 (2015) 090401). We show that our scheme is robust with respect to noise, in the sense that any measurement scheme which approximates these measurements well enough is equally suitable for pure state tomography. Finally, we present two convex programs which can be used to reconstruct the unknown pure state from the measurement outcome distributions. Copyright (C) EPLA, 2016
For any finite-dimensional Hilbert space, we construct explicitly five orthonormal bases such that the corresponding measurements allow for efficient tomography of an arbitrary pure quantum state. This means that such measurements can be used to distinguish an arbitrary pure state from any other state, pure or mixed, and the pure state can be reconstructed from the outcome distribution in a feasible way. The set of measurements we construct is independent of the unknown state, and therefore our results provide a fixed scheme for pure state tomography, as opposed to the adaptive (state-dependent) scheme proposed by Goyeneche et al. (Phys. Rev. Lett., 115 (2015) 090401). We show that our scheme is robust with respect to noise, in the sense that any measurement scheme which approximates these measurements well enough is equally suitable for pure state tomography. Finally, we present two convex programs which can be used to reconstruct the unknown pure state from the measurement outcome distributions. Copyright (C) EPLA, 2016
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