University of Cambridge > > Optimization and Incentives Seminar > Bits and particles: Spin-glass analogies and beyond

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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