Einstein–Podolsky–Rosen–Bohm experiments: A discrete data driven approach

We take the point of view that building a one-way bridge from experimental data to mathematical models instead other way around avoids running into controversies resulting attaching meaning symbols used in latter. In particular, we show adopting this offers new perspectives for constructing and interpreting results Einstein–Podolsky–Rosen–Bohm experiments. first prove Bell-type inequalities constraining values four correlations obtained by performing experiments under different conditions. The proof is “model-free” sense it does not refer any model one imagines have produced data. constraints only depend on number quadruples reshuffling sets without changing correlations. These reduce model-free versions well-known if maximum fraction equal one. Being model-free, violation latter implies all can be reshuffled form quadruples. Furthermore, being inequalities, assumed produce apply. Starting experiments, construct postulate describe main features these framework plausible reasoning applied reproducible robust data, yielding using concept quantum theory, expression correlation system two spin-1/2 objects singlet state. Next, apply Bell’s theorem Stern–Gerlach experiment demonstrate how requirement separability leads quantum-theoretical description averages an experiment. analyze debunk popular statement vindicated theory. argue theory but processing EPRB should questioned. perform superconducting information processor event-by-event generation discrete yield are good agreement with thought stochastic subquantum also excellent