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Order preserving maps on quantum measurements


Teiko Heinosaari1,2, Maria Anastasia Jivulescu3, and Ion Nechita4

1Quantum algorithms and software, VTT Technical Research Centre of Finland Ltd
2Department of Physics and Astronomy, University of Turku, Finland
3Department of Mathematics, Politehnica University of Timişoara, Romania
4Laboratoire de Physique Théorique, Université de Toulouse, CNRS, UPS, France

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We study the partially ordered set of equivalence classes of quantum measurements endowed with the post-processing partial order. The post-processing order is fundamental as it enables to compare measurements by their intrinsic noise and it gives grounds to define the important concept of quantum incompatibility. Our approach is based on mapping this set into a simpler partially ordered set using an order preserving map and investigating the resulting image. The aim is to ignore unnecessary details while keeping the essential structure, thereby simplifying e.g. detection of incompatibility. One possible choice is the map based on Fisher information introduced by Huangjun Zhu, known to be an order morphism taking values in the cone of positive semidefinite matrices. We explore the properties of that construction and improve Zhu’s incompatibility criterion by adding a constraint depending on the number of measurement outcomes. We generalize this type of construction to other ordered vector spaces and we show that this map is optimal among all quadratic maps.

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Cited by

[1] Qing-Hua Zhang and Ion Nechita, “A Fisher Information-Based Incompatibility Criterion for Quantum Channels”, Entropy 24 6, 805 (2022).

[2] Huangjun Zhu, “Quantum Measurements in the Light of Quantum State Estimation”, PRX Quantum 3 3, 030306 (2022).

[3] Faedi Loulidi and Ion Nechita, “Measurement incompatibility vs. Bell non-locality: an approach via tensor norms”, arXiv:2205.12668.

[4] Yui Kuramochi, “Infinite dimensionality of the post-processing order of measurements on a general state space”, Journal of Physics A Mathematical General 55 43, 435301 (2022).

The above citations are from SAO/NASA ADS (last updated successfully 2022-11-18 22:29:10). The list may be incomplete as not all publishers provide suitable and complete citation data.

On Crossref’s cited-by service no data on citing works was found (last attempt 2022-11-18 22:29:08).


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