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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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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.