To try and get a new technical discussion started ...
Suppose we contrast the Christian correlation function C_ab with the CHSH correlation function.
The former is deterministic, admitting random input; the latter is probabilistic, producing random output.
Could these functions be dual to each other? -- if so, it venerates Joy Christian's claim that entanglement is an illusion, without obviating the computability and mathematical validity of Bell-Aspect experimental results. Discrete output of Bell-Aspect -- on the assumption of entanglement -- would be identical to truncated output, from a continuously randomized input function (the ThrowDie function in Chantal Roth's programming terms) of Joy Christian's model.
See how the contrast makes duality possible? -- Bell-Aspect simply assumes entanglement, while the Christian framework follows Newton's prescription, "hypotheses non fingo." Entanglement is superfluous to deterministic, continuous, natural (and locally real) functions.
What makes Bell's theorem important to computer controlled applications, particularly security, is the assured pseudo-random integrity of the ouput, based on the assumption of quantum entanglement in which nonlocal results remain out of reach of computation by an adversary who has no knowledge of how the pseudo-random string was obtained.
Representative of such infomration technology is this 2010 paper by Stefano Pironio, et al:
"We quantify the Bell inequality violation through the CHSH correlation function [19]
I = SIGMAx,y (- 1)^xy [P(a = b|xy - P(a != b|xy]
where P(a = b|xy) is the probability that a = b given settings (x; y) and P(a != b|xy] is defined analogously. Systems that admit a local, hence deterministic [20], description satisfy I =< 2. Certain measurements performed on entangled states, however, can violate this inequality."
A measurement on an assumed entangled state, however, is an average of trials on a probabilistic space. A deterministic measure on a complete -- i.e., classically continuous -- space, is an arbitrary choice of boundary conditions on an arbitrary interval. In other words, does nonlinear input to a continuous function guarantee precisely correlated linear output?
To prove the above question in a positive way, we need an arithmetically continuous model computable from a discrete initial condition. I've been working on a proof, the strategy outlined here and here .
Dual quantum correlation functions that generate identical results -- one function assuming non-observable quantum entanglement; the other, a correlation measurement continuous from the initial condition -- tells us that entanglement is an artifact of an artificial probability space and not physically real.
What justifies the probability measure space? -- only the assumption that fundamental reality is probabilistic. This assumption is made apparent in Poronio et al's conclusion:
"Stepping back to the more conceptual level, note that Eq. (3) relates the random character of quantum theory to the violation of Bell inequalities. This bound can be modified for a situation where we assume only the no-signalling principle instead of the entire quantum formalism (see Figure 2 and 3 and Appedenix A.3). Such a bound lays the basis for addressing in a statistically significant way one of the most fundamental questions raised by quantum theory: whether our world is compatible with determinism (but then necessarily signalling), or inherently random (if signalling is deemed impossible)."
The no-signalling condition is a red herring; Joy's framework is completely compatible with the no-signalling condition -- it couldn't *not* be, in that it is fully relativistic. Non-relativistic quantum theory gets "inherently random" nonlocal results on the assumption that locality forbids signalling -- which only assumes what it means to prove. Joy's framework generates manifestly local quantum correlations that still forbid signalling, a la special relativity.
Tom