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Efficiently Optimizing the Quantum Value of Bell Inequalities using Batched Gradient Descent
Exploring the world of Bell inequalities requires numerical methods that scale effectively with the number of parties, inputs, and outputs. Such methods can be used to study large-scale Bell inequalities beyond the reach of analytic methods, to design experiments for violating more complicated Bell
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