1995
DOI: 10.1007/bf02187530
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New loophole for the Einstein-Podolsky-Rosen paradox

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Cited by 23 publications
(34 citation statements)
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“…Nonetheless, if we relax our model and let the random variable depend on one of the inputs, it becomes possible to reproduce the quantum joint distribution (1) (this is a slight extension of a result by Feldmann [7]): Theorem 4 (Sampling theorem). Let a and b be Alice's and Bob's inputs.…”
Section: Protocol With a Biased Random Sourcementioning
confidence: 85%
See 1 more Smart Citation
“…Nonetheless, if we relax our model and let the random variable depend on one of the inputs, it becomes possible to reproduce the quantum joint distribution (1) (this is a slight extension of a result by Feldmann [7]): Theorem 4 (Sampling theorem). Let a and b be Alice's and Bob's inputs.…”
Section: Protocol With a Biased Random Sourcementioning
confidence: 85%
“…In the local hidden variable model for two parties, Alice has an input a and an output A, and similarly, Bob has an input b and an output B, and they share a set of random variables which are distributed independently of Alice and Bob's input. Following an idea introduced by Feldmann [7], we can relax the condition that the shared randomness is distributed independently of the input, and imagine that Alice and Bob share a set of random variables with a distribution depending on Alice's input. Clearly in this scenario, there exists a distribution which allows them to reproduce quantum correlations (a trivial way is to let the random source produce a with probability 1).…”
mentioning
confidence: 99%
“…Now, since ρ(λ|a,b) = ρ(u,v|a), i.e., ρ does not depend on b, one can go from (21) to (22), with ρ(λ) being replaced by ρ(u,v|a). But, as shown in Appendix D, for the present case a,b), which implies that (22), with ρ(λ) → ρ(λ|a), holds as an equality.…”
Section: Leggett Inequalitiesmentioning
confidence: 99%
“…Another approach to one-sided models has been discussed by Degorre et al [20], who-extending a result by Feldmann [21]-relaxed the condition that shared randomness is distributed independently of measurement settings. A biased distribution on Alice's side is assumed.…”
Section: Introductionmentioning
confidence: 99%
“…It was shown in [8] that if we define A(x, θ a ) = sign(cos(x − θ a )), B(x, θ b ) = −sign(cos(x − θ b )) and P (x, θ a ) = 1/4| cos(x − θ a )| then,…”
Section: Application To Bell Pairmentioning
confidence: 99%