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Quantifying Nonlocality Based on Local Hidden Variable Models

2009/09/16 by Dong-Ling Deng, Deng, Dong-Ling, Jing‐Ling Chen +4
Computer Science · Mathematics · Physics and Astronomy · #Advanced Optimization Algorithms Research #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #quant-ph

paper · pdf · doi:10.48550/arxiv.0909.2919

4pages

arxiv created 2009/11/09 · arxiv updated 2009/12/01

Abstract

We introduce a fresh scheme based on the local hidden variable models to quantify nonlocality for arbitrarily high-dimensional quantum systems. Our scheme explores the minimal amount of white noise that must be added to the system in order to make the system local and realistic. Moreover, the scheme has a clear geometric significance and is numerically computable due to powerful computational and theoretical methods for the class of convex optimization problems known as semidefinite programs.

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