Bits and particles: Spin-glass analogies and beyond
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Statistical physics has been proved to provide powerful tools to analyze
the asymptotic performance of information systems
by exploiting the analogy between systems of particles and bits. The
study in depth of such models also reveals some
intimate relationships between Shannon theory and the laws of physics
and opens new routes to understand
information-theoretical concepts from a physics perspective.
This talk is part of the Optimization and Incentives Seminar series.
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