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Checking strict positivity of Kraus maps is NP-hard

  • Department of Mathematics
  • University of Hong Kong

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Basic properties in Perron–Frobenius theory are positivity, primitivity, and irreducibility. Whereas these properties can be checked in polynomial time for stochastic matrices, we show that for Kraus maps – the noncommutative generalization of stochastic matrices – checking positivity is NP-hard. This is in contrast with irreducibility and primitivity, which we show to be checkable in strongly polynomial time for completely positive maps – the noncommutative generalization of nonpositive matrices. As an intermediate result, we get that the bilinear feasibility problem over Q is NP-hard.

Original languageEnglish
Pages (from-to)35-43
Number of pages9
JournalInformation Processing Letters
Volume118
DOIs
Publication statusPublished - 1 Feb 2017

Keywords

  • Algorithms
  • Analysis of algorithms
  • Computational complexity

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