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The thesis reviews the correlation polytope approach to characterize classical probabilities across various hidden variable models, including those by Bell, Kochen and Specker, and Leggett and Garg. It addresses computational challenges faced in this method and proposes solutions for several complex cases. Additionally, it introduces a general technique for analyzing quantum correlations in sequential measurements, enabling the computation of maximal correlations, thereby bridging classical and quantum probability frameworks.
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Temporal Quantum Correlations and Hidden Variable Models, Costantino Budroni
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- 2016
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