2. Materials and Methods
Quantum entanglement was officially discovered by EPR, as a thought experiment. Their stated intent was to illustrate a reasonable Reality Criterion [
13]. If Alice measured a quantum property, she could predict with certainty the outcome of an identical measurement by Bob (provided that the two quanta were suitably correlated). The same would hold for any other choice of measurement by Alice, even if Bob did not perform a measurement. Therefore, all the unmeasured properties of Bob’s quantum should be treated as real at the same time,
as part of a single system. A similar idea is latent in the derivation of Bell’s theorem, where joint probabilities are defined for classical models of reality [
4]. What happens when all the observables exist at the same time, as part of a single system? The answer is that Bell violations are impossible. This gives us a platform for thinking about correlated remote measurements. Alice gets the same result as Bob for property 1 and for property 2. If they measure different properties, they simply confirm what would happen if both measurements were done on the same system. This is how we know that Alice and Bob events are physically independent, despite their statistical dependence, if Bell’s inequality is obeyed. In the same way, if we knew that Bell violations were locally possible, as part of a single system, then identical patterns for remote joint measurements would not require additional explanations.
When physical properties exist at the same time, they can be detected at the same time. Yet, when such properties are mutually exclusive, this is no longer possible. The only way to detect coincidences between sequential properties, as part of a single system, is by allowing for measurement schemes with extended windows of coincidence. For example, the arrows of an analogue clock can point in every possible direction, in sequence, but only one at a time. If the arrow points to 1 o’clock, then it is not pointing to 2 o'clock, and so on. Accordingly, it is possible to isolate consecutive events in pairs, if the window of coincidence is wide enough to include two events, but not wide enough to include three or more. Remarkably, a chain of pairwise connections on a clockface must close back on itself. This is convenient, because a Bell-type experiment is also a closed chain of pairwise measurements, such that any single variable is measured in coincidence with two others. So, let us attempt to replicate a CHSH experiment with staggered properties in a “clockwork” classical system.
Consider a large (classical) object in the shape of an arrow, rotating above a table with printed markers. Any imaginary axis through the center of the table is crossed by the arrow twice per full rotation. Accordingly, it is possible to assign binary values to opposite ends of each axis, such as “+” for North and “−” for South, or “+” for East and “−” for West (
etc.), as shown in
Figure 1a. The “outcomes” for each axial variable must exhibit 50-50 distributions, as long as the arrow is moving continuously. The CHSH protocol requires 4 binary variables. Therefore, it is possible to replicate a Bell setting with four suitably arranges axes. For clarity, the surface of the underlying table can be divided into 8 sectors, as shown in
Figure 1b.
A1 and
A2 values are interlaced with
B1 and
B2 values, in order to enable the pair-wise detection of all the necessary combinations for a Bell test. If the arrow is forced to rotate at a fixed rate, by means of an actuator, it passes over each sector, one at a time. If the arrow is in the state of hovering over sector “
A1+”, then we can describe this observation as a “conditional real outcome”. The same rule applies to all the other sectors, in sequence, resulting in a simple toy model with contextual classical properties.
Figure 1.
Classical system with sequential binary properties. A macroscopic arrow is forced by a clockwork mechanism to rotate at a constant rate. (a) A full rotation produces two passages over each axis, as shown in the background. The opposite ends of each axis can be marked with binary values, such as “+” or “−”. (b) A CHSH arrangement can be produced by dividing the background plane into 8 sectors, containing the ordered measurement outcomes for the 4 relevant observables. It is possible to make two copies of this system, one for Alice and one for Bob. Yet, the value of this example is to illustrate the relationships between these 4 variables as part of a single system. Each observable “becomes real” when the arrow passes above the corresponding sector. Maximal Bell violations emerge if pairs of events are detected in coincidence windows that include only two events at a time.
Figure 1.
Classical system with sequential binary properties. A macroscopic arrow is forced by a clockwork mechanism to rotate at a constant rate. (a) A full rotation produces two passages over each axis, as shown in the background. The opposite ends of each axis can be marked with binary values, such as “+” or “−”. (b) A CHSH arrangement can be produced by dividing the background plane into 8 sectors, containing the ordered measurement outcomes for the 4 relevant observables. It is possible to make two copies of this system, one for Alice and one for Bob. Yet, the value of this example is to illustrate the relationships between these 4 variables as part of a single system. Each observable “becomes real” when the arrow passes above the corresponding sector. Maximal Bell violations emerge if pairs of events are detected in coincidence windows that include only two events at a time.
A well-known feature of quantum entanglement is that Bell violations happen for pairwise measurements (and only for pairwise measurements [
21]). Such patterns are not possible for systems with jointly distributed variables. For example, as shown in
Figure 2a, maximally correlated simultaneous properties exist in homogeneous quadruplets. Objectively, all the four observables have “+” values, or all of them have “−” values, depending on which iteration is chosen. Hence, pairwise detections cannot do more than sample this underlying pattern. The outcome is a set of Kolmogorov -compatible set of coefficients of correlations. The CHSH inequality for this case is:
Given that all the pairs are maximally correlated, and that all the expectation values are equal to 1, we get:
Figure 2.
Coincidence patterns for simultaneous vs sequential properties. Jointly distributed variables can only have compatible coefficients of correlation. This rule does not extend to mutually exclusive (but still objective) properties. (a) Simultaneous realism entails that all the variables express their values at the same time, for each object. In a population with maximal correlations, each object is either represented by the green circle, or the blue circle. Pairwise observations sample this pattern and cannot violate the CHSH inequality. (b) Sequential realism enables the pairwise detection of two observables at a time, with no regard for the state of other properties. The same Möbius-strip pattern is replayed over and over. Both loops must be traversed in full before returning to the same starting point. Maximal CHSH violations emerge, as explained in the text.
Figure 2.
Coincidence patterns for simultaneous vs sequential properties. Jointly distributed variables can only have compatible coefficients of correlation. This rule does not extend to mutually exclusive (but still objective) properties. (a) Simultaneous realism entails that all the variables express their values at the same time, for each object. In a population with maximal correlations, each object is either represented by the green circle, or the blue circle. Pairwise observations sample this pattern and cannot violate the CHSH inequality. (b) Sequential realism enables the pairwise detection of two observables at a time, with no regard for the state of other properties. The same Möbius-strip pattern is replayed over and over. Both loops must be traversed in full before returning to the same starting point. Maximal CHSH violations emerge, as explained in the text.
In contrast, sequential properties are not limited in the same way. Instead, a full cycle includes all the 8 possible observations in a closed chain, resulting in a Möbius-strip pattern, as shown in
Figure 2b. The net effect is a combination of statistically incompatible coefficients. Three pairs of observables can only coincide with (+,+) or (−,−) outcomes, making them maximally correlated. In contrast, one pair is only able to coincide with (+, −) or (−,+) outcomes, due to the double crossover between the inner and the outer loops of the Möbius strip (
Figure 2b). This makes it maximally anti-correlated. When plugging these values in the CHSH expression, we get:
Such a mixture of pairwise combinations is logically impossible for jointly distributed variables. Nonetheless, it emerges naturally in a system with sequential properties. We have a classical mechanism that operates like a clock, whether or not it is observed. All the values are printed on the table and cannot change just because the arrow is passing over them, or because a person is looking at them. Each transient outcome is flanked by two different sectors on the table. So, pairwise consistency is maintained throughout, meaning that distributions (A1, B1) and (B1, A2) always agree about the values of B1, while (B1, A2) and (A2, B2) always agree about the values of A2, etc. Surprisingly, a maximal Bell violation was produced anyway.
If such behavior is possible for a single system, then it can also happen for correlated copies of the same system. This is self-evident. As a result, non-signaling and local behavior must be described as physically equivalent. In other words, the expression
does not describe just the
average probability that Alice might observe the same outcome for both settings of Bob. It is actually possible for
every one of Alice’s events to be exactly the same, no matter what Bob does. Accordingly, it is not meaningful to suggest that entangled quanta influence each other directly in hidden-variable models. Statistical separability is just a consequence of statistical compatibility. If relevant variables are not jointly distributed, then their joint probabilities are not separable. The “non-classical” implications of this relationship are not so clear, given its demonstration in a classical system.