That's right.Zen wrote:Looks like the joint theoretical efficiency of the Gisin-Gisin model is exactly 50%.
Zen wrote:Hi Michel,
In this artificial Monte Carlo simulation environment, I've defined (joint) efficiency to be the number of "good" (accepted) states over the number of generated states. This is done for each simulated angle difference. In a real laboratory, if I'm using the same source, I would expect that running the experiment for two different angle differences for a sufficiently long time T would give me a ratio of detection counts in the same proportion as the corresponding ratio of the efficiencies predicted by, let's say, Pearle's model. Hence, absolute efficiencies may not be observable, but relative efficiencies are experimentally testable.
minkwe wrote:Zen wrote:Hi Michel,es, corret.
In this artificial Monte Carlo simulation environment, I've defined (joint) efficiency to be the number of "good" (accepted) states over the number of generated states. This is done for each simulated angle difference. In a real laboratory, if I'm using the same source, I would expect that running the experiment for two different angle differences for a sufficiently long time T would give me a ratio of detection counts in the same proportion as the corresponding ratio of the efficiencies predicted by, let's say, Pearle's model. Hence, absolute efficiencies may not be observable, but relative efficiencies are experimentally testable.
Good point, It should be possible then using existing data from Weih's experiment and similar experiments to calculate how the efficiency varies by angle difference. The only way the efficiency should vary by angle is if hidden variables are present. That to me seems like an easily doable test, instead of the unending focus on "loophole-free" experiments.
Heinera wrote:If effiency varied by angle difference, that would be a clear indication of hidden varaibles, correct. But no notable experiment to date has seen such a relationship between angle difference and efficiency.
Heinera wrote:If effiency varied by angle difference, that would be a clear indication of hidden variables, correct. But no notable experiment to date has seen such a relationship between angle difference and efficiency.
There is no detection loophole if we use the Clauser-Horne inequality
gill1109 wrote:Michel has told us that for him, counterfactual definiteness or realism is non-sensical
gill1109 wrote:Bell in his first Bell-inequality paper in effect uses the Boole inequality "P(A or B or C) is less than or equal to P(A) + P(B) +P(C)".
CHSH and CH in effect use the Boole inequality use "P(A or B or C or D) is less than or equal to P(A) + P(B) +P(C) +P(D)."
gill1109 wrote:To make things simple let's do the case of two events. A union B is the disjoint union of A and B setminus A. B is the disjoint union of B setminus A and A intersection B. Write down the two corresponding equalities (additivity of probability). By substituion find probability of A union B equals the sum of the probabilities of A and B, minus the probability of their intersection. Now use non-negativity of probability to get your inequality.
minkwe wrote:P(A U B) = P(A) + P(B) - P(A ∩ B)
P(A ∩ B) >= 0 (by definition)
P(A U B) <= P(A) + P(B)
Is that what you mean?
Can this inequality ever be violated by anything, short of a mathematical error?
Do you agree that every inequality is a summary of an equality that must make sense for the inequality to make sense?
It will be interesting find out what the corresponding equality for "Bell's inequality" is, and to ask ourselves if it makes sense for all the scenarios we are apply the inequalities for.
For example, what if we make those events conditional on some condition (X), and we write:
P(A U B|X) = P(A|X) + P(B|X) - P(A ∩ B|X)
P(A ∩ B|X) >= 0 (by definition)
P(A U B|X) <= P(A|X) + P(B|X)
Is this inequality still valid? Will it still be valid if P(X) = 0?
Do you see the problem? Lots of questions, I know, but I don't expect you to answer them here so long as you answer them to yourself, I'm just attempting to guide your reasoning process.
X ~ All the measurements are performed on a single set of particles.
gill1109 wrote:Interesting, apparently you think that the usual derivations of Bell's theorem involve conditioning on a zero probability event! I think you are badly mistaken.
There is no conditioning on zero probability events there, either.
Similarly we can apply the Larsson-Gill http://arxiv.org/abs/quant-ph/0312035 results
It interesting to see a synchrotron scientist and adjunct professor in biochemistry trying to teach probability theory to a mathematical statistician.
gill1109 wrote: Local hidden variables guarantee that counterfactual outcomes of all possible measurements exist simultaneously, in a mathematical sense: in a given run with hidden variables lambda, the measurement outcome A(a, lambda) is defined for all settings a, not just for the single setting which Alice happened to choose in the particular run in question.
...
I suggest you take some time off to carefully study sections 2 and 9 of the recent paper by me
minkwe wrote:gill1109 wrote: Local hidden variables guarantee that counterfactual outcomes of all possible measurements exist simultaneously, in a mathematical sense: in a given run with hidden variables lambda, the measurement outcome A(a, lambda) is defined for all settings a, not just for the single setting which Alice happened to choose in the particular run in question.
...
I suggest you take some time off to carefully study sections 2 and 9 of the recent paper by me
I suggest you take some time to carefully study what I've posted above. I don't think you understand any of it. Your response to it is incoherent.
gill1109 wrote:I have not been able to understand a thing of what you have been saying. I wasn't the only one, by the way.
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