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Quantum Entropy Information Measures

On simultaneous min-entropy smoothing

arXiv
Authors: Lukas Drescher, Omar Fawzi

Year

2013

Paper ID

2250

Status

Preprint

Abstract Read

~2 min

Abstract Words

143

Citations

N/A

Abstract

In the context of network information theory, one often needs a multiparty probability distribution to be typical in several ways simultaneously. When considering quantum states instead of classical ones, it is in general difficult to prove the existence of a state that is jointly typical. Such a difficulty was recently emphasized and conjectures on the existence of such states were formulated. In this paper, we consider a one-shot multiparty typicality conjecture. The question can then be stated easily: is it possible to smooth the largest eigenvalues of all the marginals of a multipartite state ρ simultaneously while staying close to ρ? We prove the answer is yes whenever the marginals of the state commute. In the general quantum case, we prove that simultaneous smoothing is possible if the number of parties is two or more generally if the marginals to optimize satisfy some non-overlap property.

Why This Paper Matters

  • This paper contributes to the Quantum Entropy & Information Measures research area in the Quantum Articles archive.
  • It adds a 2013 reference point for readers tracking recent quantum research.
  • In the context of network information theory, one often needs a multiparty probability distribution to be typical in several ways simultaneously.

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