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Quantum Machine Learning Quantum Foundations

Learning the Einstein-Podolsky-Rosen correlations on a Restricted Boltzmann Machine

arXiv
Authors: Steven Weinstein

Year

2017

Paper ID

44698

Status

Preprint

Abstract Read

~2 min

Abstract Words

58

Citations

N/A

Abstract

We construct a hidden variable model for the EPR correlations using a Restricted Boltzmann Machine. The model reproduces the expected correlations and thus violates the Bell inequality, as required by Bell's theorem. Unlike most hidden-variable models, this model does not violate the locality assumption in Bell's argument. Rather, it violates measurement independence, albeit in a decidedly non-conspiratorial way.

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