Approximate Quantum Markov Chains

This book is an introduction to quantum Markov chains and explains how this concept is connected to the question of how well a lost quantum mechanical system can be recovered from a correlated subsystem. To achieve this goal, we strengthen the data-processing inequality such that it reveals a statem...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Sutter, David (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:SpringerBriefs in Mathematical Physics, 28
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Classical Markov chains
  • Quantum Markov chains
  • Outline
  • Preliminaries
  • Notation
  • Schatten norms
  • Functions on Hermitian operators
  • Quantum channels
  • Entropy measures
  • Background and further reading
  • Tools for non-commuting operators
  • Pinching
  • Complex interpolation theory
  • Background and further reading
  • Multivariate trace inequalities
  • Motivation
  • Multivariate Araki-Lieb-Thirring inequality
  • Multivariate Golden-Thompson inequality
  • Multivariate logarithmic trace inequality
  • Background and further reading
  • Approximate quantum Markov chains
  • Quantum Markov chains
  • Sufficient criterion for approximate recoverability
  • Necessary criterion for approximate recoverability
  • Strengthened entropy inequalities
  • Background and further reading
  • A A large conditional mutual information does not imply bad recovery
  • B Example showing the optimality of the Lmax-term
  • C Solutions to exercises
  • References
  • Index.