Postprocessing of quantum instruments

Leevi Leppäjärvi and Michal Sedlák
Phys. Rev. A 103, 022615 – Published 25 February 2021

Abstract

Studying sequential measurements is of the utmost importance to both the foundational aspects of quantum theory and the practical implementations of quantum technologies, with both of these applications being abstractly described by the concatenation of quantum instruments into a sequence of a certain length. In general, the choice of instrument at any given step in the sequence can be conditionally chosen based on the classical results of all preceding instruments. For two instruments in a sequence we consider the conditional second instrument as an effective way of postprocessing the first instrument into a new one. This is similar to how a measurement described by a positive operator-valued measure (POVM) can be postprocessed into another by way of classical randomization of its outcomes using a stochastic matrix. In this work we study the postprocessing relation of instruments and the partial order it induces on their equivalence classes. We characterize the greatest and the least element of this order, give examples of postprocessings between different types of instruments, and draw connections between postprocessings of some of these instruments and their induced POVMs.

  • Figure
  • Received 6 November 2020
  • Accepted 9 February 2021

DOI:https://doi.org/10.1103/PhysRevA.103.022615

©2021 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Leevi Leppäjärvi*

  • QTF Centre of Excellence, Turku Centre for Quantum Physics, Department of Physics and Astronomy, University of Turku, Turku 20014, Finland

Michal Sedlák

  • RCQI, Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 84511 Bratislava, Slovakia and Centre of Excellence IT4Innovations, Faculty of Information Technology, Brno University of Technology, Božetěchova 2/1, 612 00 Brno, Czech Republic

  • *leille@utu.fi
  • michal.sedlak@savba.sk

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Issue

Vol. 103, Iss. 2 — February 2021

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