TY - JOUR
T1 - Universal Recovery Maps and Approximate Sufficiency of Quantum Relative Entropy
AU - Junge, Marius
AU - Renner, Renato
AU - Sutter, David
AU - Wilde, Mark M.
AU - Winter, Andreas
PY - 2018/10/1
Y1 - 2018/10/1
N2 - © 2018, The Author(s). The data processing inequality states that the quantum relative entropy between two states ρ and σ can never increase by applying the same quantum channel N to both states. This inequality can be strengthened with a remainder term in the form of a distance between ρ and the closest recovered state (R∘ N) (ρ) , where R is a recovery map with the property that σ= (R∘ N) (σ). We show the existence of an explicit recovery map that is universal in the sense that it depends only on σ and the quantum channel N to be reversed. This result gives an alternate, information-theoretic characterization of the conditions for approximate quantum error correction.
AB - © 2018, The Author(s). The data processing inequality states that the quantum relative entropy between two states ρ and σ can never increase by applying the same quantum channel N to both states. This inequality can be strengthened with a remainder term in the form of a distance between ρ and the closest recovered state (R∘ N) (ρ) , where R is a recovery map with the property that σ= (R∘ N) (σ). We show the existence of an explicit recovery map that is universal in the sense that it depends only on σ and the quantum channel N to be reversed. This result gives an alternate, information-theoretic characterization of the conditions for approximate quantum error correction.
UR - https://www.scopus.com/pages/publications/85051722370
U2 - 10.1007/s00023-018-0716-0
DO - 10.1007/s00023-018-0716-0
M3 - Article
SN - 1424-0637
VL - 19
SP - 2955
EP - 2978
JO - Annales Henri Poincare
JF - Annales Henri Poincare
ER -