|
|
|
|
|
by gus_massa
1852 days ago
|
|
But if you use V=9.0, now the result of the simulation is not longer equal to the experimental result. For example with alpha=0, beta=90, V=9, if I run the simulation 10 times I get 0.9536987797308330
0.9540514229678816
0.9534108516112525
0.9540204547111079
0.9535252821469831
0.9538811736228740
0.9541386030170054
0.9534090666514868
0.9538249532069655
0.9535418321159825
That is pretty consistently like 0.045 less than the expected result that is 1.0.(It is weird, but if alpha=0, and V=9, and you change beta, then the error is very close to (45-beta)/1000, where beta is in degrees. It's probably not exactly 1000, because using a number in degrees is weird, but it's similar.) The problem is not to find an alternative algorithm that predicts one of the results, the problem is finding one that predicts correctly all the results. |
|
It smoothly deforms the distribution between classical and QM, and the results look less like theoretical QM, and more like a experimental QM (in practice it's hard to observe 2.0*sqrt(2.0) theoretical violation of BI).
There is quite a lot of modelling freedom, to hide the distribution into the noise.
The whole question is what's more likely between experimenters missing photon pairs to the noise due to a systemic misconception in a complex experimental setup, or have the universe be non-local.
>The problem is not to find an alternative algorithm that predicts one of the results, the problem is finding one that predicts correctly all the results.
A model which predict all the results (Hint : Fields), will be more complex and even less likely to convince anyone.
Bell's theorem is a mathematical version of those onceyouseeit images ( https://twitter.com/TimKietzmann/status/1390405523430850562 ) where you realize that there is in fact nothing to see.