Bell tests with optimal local hidden variable models
Fuming Wang

TL;DR
This paper introduces a new method for Bell tests using optimal local hidden variable models that match quantum correlations at minimal detection efficiencies, potentially improving loophole-free experiments.
Contribution
It presents a framework for constructing optimal LHV models and demonstrates their effectiveness in reproducing quantum correlations with lower detection efficiency thresholds.
Findings
Optimal LHV models match quantum correlations at critical detection efficiencies.
LHV models are equivalent to existing Bell inequalities in optimized setups.
Lower critical efficiencies are achieved in LHV models' own optimized configurations.
Abstract
An alternative method of detection-loophole-free Bell test is proposed using local hidden variable (LHV) models with optimal detection efficiencies. A framework for constructing such optimal LHV models is presented. Optimal LHV models for maximally and non-maximally entangled twopartite states are constructed to reproduce the quantum correlations within the critical detection efficiencies. The LHV models are shown to be completely equivalent with the existing twopartite Bell inequalities in their optimized setups, and to have even lower critical efficiencies in the LHV modes' own optimized setups. Applications in Bell tests and in device-independent quantum information processing are discussed.
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Taxonomy
TopicsQuantum Information and Cryptography · Statistical Mechanics and Entropy · Quantum Computing Algorithms and Architecture
