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Approximate Quantum Markov Chains (Paperback, 1st ed. 2018)
Loot Price: R1,473
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Approximate Quantum Markov Chains (Paperback, 1st ed. 2018)
Series: SpringerBriefs in Mathematical Physics, 28
Expected to ship within 10 - 15 working days
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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 statement about the
reconstruction of lost information. The main difficulty in order to
understand the behavior of quantum Markov chains arises from the
fact that quantum mechanical operators do not commute in general.
As a result we start by explaining two techniques of how to deal
with non-commuting matrices: the spectral pinching method and
complex interpolation theory. Once the reader is familiar with
these techniques a novel inequality is presented that extends the
celebrated Golden-Thompson inequality to arbitrarily many matrices.
This inequality is the key ingredient in understanding approximate
quantum Markov chains and it answers a question from matrix
analysis that was open since 1973, i.e., if Lieb's triple matrix
inequality can be extended to more than three matrices. Finally, we
carefully discuss the properties of approximate quantum Markov
chains and their implications. The book is aimed to graduate
students who want to learn about approximate quantum Markov chains
as well as more experienced scientists who want to enter this
field. Mathematical majority is necessary, but no prior knowledge
of quantum mechanics is required.
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