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Breaking Bell's Inequality with Monte Carlo Simulations in Python

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Re: Breaking Bell's Inequality with Monte Carlo Simulations in Python

#61

Earlier quoted context omitted.

That the subtlety of this post-selection scheme, the state is completely local : By construction (L37) sela only depends on particle a, and (L38) selb only depends on particle b. The measurement of a only depend on sela (and not selb), and the measurement of b only depend on selb (and not sela). There is no exchange of information. The universe already has given you the observations it needed to give you by line 38.…

Ok I think I understand your intention with the code now. Sorry I was wrong before. I think what you're talking about here is what gets called the "detection loophole" in most of the literatire. The idea that if we detect only a small enough fraction of the events then they can be a sufficiently unrepresentative sample that we think we violated a Bell inequality even though the full statistics don't. This has (in my…

It is not about missing detection or not.

In your first paper, fig 1 (a), the "ready" box play the role of the "selected".

The universe tell you whether to select or not (it's not you missing events). It just tells it to you without giving any info on the underlying state. You can build a ready box without problem, and experimenters did, and that's all that is needed to break CHSH.

You've got to see it in an abstract way. Nature's is fuzzy and experimenters will always have to define box boundaries (spatial, temporal, and entanglement-pair selection boxes). This defining create conditioning which makes breaking bell inequalities something totally normal, expected and meaningless.

A related concept that may help you see it is https://en.wikipedia.org/wiki/Correlated_equilibrium :

In a game of Chicken, you can get a better correlations between your actions that would seemingly be possible, by using a random variable oracle to coordinate. No information exchange needed. Measurement devices are kind of playing a continuous version of this game.

Re: Breaking Bell's Inequality with Monte Carlo Simulations in Python

#62

Earlier quoted context omitted.

Ok I think I understand your intention with the code now. Sorry I was wrong before. I think what you're talking about here is what gets called the "detection loophole" in most of the literatire. The idea that if we detect only a small enough fraction of the events then they can be a sufficiently unrepresentative sample that we think we violated a Bell inequality even though the full statistics don't. This has (in my…

It is not about missing detection or not. In your first paper, fig 1 (a), the "ready" box play the role of the "selected". The universe tell you whether to select or not (it's not you missing events). It just tells it to you without giving any info on the underlying state. You can build a ready box without problem, and experimenters did, and that's all that is needed to break CHSH. You've got to see it in an abstract…

Its not remotely the same as the ready box, because the ready box sends its signal before the measurement directions have been chosen.

It would be equivalent to the ready box if your filtering happened without any reference to the measurement choices our outcomes.

If you're still unhappy with role of the ready box we can instead talk about either of the two purely photonic experiments which didn't use anything similar.

> The universe tell you whether to select or not (it's not you missing events).

In your numerics it is exactly missing events, there are a bunch of events and you postselect to keep only some of them. If you mean a different model you're going to need a python script which does something else.

>Nature's is fuzzy and experimenters will always have to define box boundaries (spatial, temporal, and entanglement-pair selection boxes)

Sure, but in each of the experiments I linked the selection in the experiments loses a small enough fraction of the events that the detection loophole is closed.

Re: Breaking Bell's Inequality with Monte Carlo Simulations in Python

#63

Earlier quoted context omitted.

Ok I think I understand your intention with the code now. Sorry I was wrong before. I think what you're talking about here is what gets called the "detection loophole" in most of the literatire. The idea that if we detect only a small enough fraction of the events then they can be a sufficiently unrepresentative sample that we think we violated a Bell inequality even though the full statistics don't. This has (in my…

It is not about missing detection or not. In your first paper, fig 1 (a), the "ready" box play the role of the "selected". The universe tell you whether to select or not (it's not you missing events). It just tells it to you without giving any info on the underlying state. You can build a ready box without problem, and experimenters did, and that's all that is needed to break CHSH. You've got to see it in an abstract…

[deleted]

Re: Breaking Bell's Inequality with Monte Carlo Simulations in Python

#64

Earlier quoted context omitted.

Ok I think I understand your intention with the code now. Sorry I was wrong before. I think what you're talking about here is what gets called the "detection loophole" in most of the literatire. The idea that if we detect only a small enough fraction of the events then they can be a sufficiently unrepresentative sample that we think we violated a Bell inequality even though the full statistics don't. This has (in my…

It is not about missing detection or not. In your first paper, fig 1 (a), the "ready" box play the role of the "selected". The universe tell you whether to select or not (it's not you missing events). It just tells it to you without giving any info on the underlying state. You can build a ready box without problem, and experimenters did, and that's all that is needed to break CHSH. You've got to see it in an abstract…

You chose an interesting point to stop replying to these comments!
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