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States in generalized probabilistic models: an approach based in algebraic geometry

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(2017)cite arxiv:1705.03045.

Abstract

We present a characterization of states in generalized probabilistic models by appealing to a non-commutative version of geometric probability theory based on algebraic geometry techniques. Our theoretical framework allows for incorporation of invariant states in a natural way.

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