

2012/05/30, MC103, 12  12:30
Coding For ClassicalQuantum Channels
Ivan
Savov
, McGill
Area:
Quantum Computing
Abstract:
The transmission of information through noisy communication channels is
a fundamental problem of theoretical and practical importance. Given a
probabilistic model of the noise in a communication channel, we can use
Shannon's information theoretic techniques to calculate the maximum
possible communication rates for that channel. Recently there has been
interest in studying quantum channel models, which offer more accurate
models for the encoding, transmission and decoding of the information.
These models are relevant for communication systems in which the
information carriers are quantum systems, like for example in the case
of optical communication. This presentation will give an intuitive
explanation of the HolevoSchumacherWestmoreland Theorem, which gives a
precise characterization of the information carrying capacity of quantum
channels. In closing we will discuss briefly the generalization of the
HSW Theorem to quantum channels with many senders and/or many receivers
(network information theory).
Ivan Savov is a graduate student in the School of Computer
Science at McGill Univeristy in Montreal Canada. Previously
he received a B.Eng. degree in electrical engineering in 2005
and a M.Sc. degree in Physics in 2008, both from McGill University.
His current research interest include network information theory,
error correcting codes, quantum information theory and machine learning.


