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More specifically, Born offers a mixture of (or will reach a particular halting state) or will run for- (in)determinism: while postulating a probabilistic ever. The method will use a reductio ad absurdum; behavior of individual particles, he accepts a determin- i.e., we assume the existence of a halting algorithm h(p) istic of the wave function (cf. [22, p. 804], deciding the halting problem of p, as well as some triv- English translation in [23, p. 302])[24]: ial manipulations; thereby deriving a complete contradic- tion. The only alternative to inconsistency appears to be “The motion of particles conforms to the the nonexistence of any such halting algorithm. For the laws of probability, but the probability it- sake of contradiction, consider an agent q(p) accepting self is propagated in accordance with the law as input an arbitrary program (code) p. Suppose further of causality. [This means that knowledge of that it is able to consult a halting algorithm h(p), thereby a state in all points in a given deter- producing the opposite behavior of p: whenever p halts, mines the distribution of the state at all later q “steers itself” into the halting mode; conversely, when- .]” ever p does not halt, q forces itself to halt. A complete contradiction results from q’s behavior on itself, because In addition to the indeterminism associated with out- whenever q(q) detects (through h(q)) that it halts, it is comes of the measurements of single quanta, there appear supposed not to halt; conversely if q(q) detects that it to be at least two other types of quantum unknowables. does not halt, it is supposed to halt. Finally, since all One is complementarity, as first expressed by Pauli [25, other steps in this “diagonal argument” with the excep- p. 7]. A third type of quantum indeterminism was dis- tion of h are trivial, the contradiction obtained in apply- covered by studying quantum , in particular ing q to its own code proves that any such program — the consequences of Gleason’s theorem [26]: whereas the and in particular a halting algorithm h — cannot exist. classical probabilities can be constructed by the convex sum of all two-valued measures associated with classical In physics, analogous arguments embedding a univer- truth tables, the structure of elementary yes–no proposi- sal computer into a physical substrate yield provable un- tions in associated with projectors in decidable observables via reduction to the halting prob- three- or higher-dimensional Hilbert spaces do not allow lem. Note that this argument neither means that the any two-valued measure [27, 28]. One of the consequences system does not evolve deterministically on a step-by- thereof is the impossibility of a consistent co-existence step basis, nor implies that predictions are provable im- of the outcomes of all conceivable quantum observables possible for all cases; that would be clearly misleading (under the noncontextuality assumption [29] that mea- and absurd! A more quantitative picture arises if we surement outcomes are identical if they “overlap”). study the potential growth of “complexity” of determin- Parallel to these developments in physics, G¨odel [30] istic systems in terms of their maximal capability to put an end to finitistic speculations in mathematics about “grow” before reaching a halting state through the Busy possibilities to encode all mathematical truth in a finite Beaver function [45–48]. Another consequence is the re- system of rules. The recursion theoretic, formal unknow- cursive unsolvability of the general induction (or rule in- ables exhibit a novel feature: they present provable un- ference [49–53]) problem for deterministic systems. As an knowables in the fixed axiomatic system in which they immediate consequence of these findings it follows that are derived. (Note that incompleteness and undecidabil- no general algorithmic rule or operational method [54] ex- ity exist always relative to the particular formal system ists which could “extract” some rather general law from a or model of universal computation.) From ancient times (coded) sequence. (Note again that it still may be possi- onwards, individuals and societies have been confronted ble to extract laws from “low-complex” sequences; possi- with a pandemonium of unpredictable behaviors and oc- bly with some intuition and additional information.) Nor currences in their environments, sometimes resulting in can there be that some sequence denominated catastrophes. Often these phenomena were interpreted “random” is not generated by a decompression algorithm as “God’s Will.” In more rationalistic times, one could which makes it formally nonrandom; a fact well known in pretend without presenting a formal proof that certain recursion and algorithmic information theory [8, 55] but unpredictable behaviors are in principle deterministic, al- hardly absorbed by the physics community. Thereby, though the phenomena cannot be predicted “for various to quote Shakespeare’s Prospero, any claims of absolute practical purposes” (“epistemic indeterminism”). Now (“ontological”) randomness decay into “thin air.” Of provable unknowables make a difference by being immune course, one could still vastly restrict the domain of possi- to these kinds of speculation. The halting problem in ble laws and define a source to be random if it “performs particular demonstrates the impossibility to predict the well” with respect to the associated, very limited collec- behavior of deterministic systems in general; it also solves tion of statistical tests, a strategy adapted by the Swiss the induction (rule inference) problem to the negative. Federal Office of Metrology[56]. In order to be able to fully appreciate the impact of re- Despite the formal findings reviewed above, which sug- cursion theoretic undecidability on physics [31–44], let us gest that claims of absolute indeterminacy cannot be sketch an algorithmic proof of the undecidability of the proven but represent subjective beliefs, their predomi- halting problem; i.e., the decision problem of whether or nance in the physics community can be understood, or not a program p on a given finite input finishes running rather motivated, by the obvious inability to account for 3 physical events, such as the outcomes of certain quantum chaotic, source of randomness; the second — called the measurements, e.g., radioactive decays [57, 58], determin- “Born box” — containing a quantum source of random- istically. Why this effective incapacity to predict individ- ness, such as a quantized system including a beam split- ual outcomes or time series of measurement data should ter. Suppose an agent is being presented with both boxes be different from other “classical” statistical sources of without any label on, or hint about, them; i.e., the origin randomness — even when complementarity and value of indeterminism is unknown to the agent. In a mod- indefiniteness is taken into account — remains an open ified Turing test, the agent’s task would be to find out question, at least from a formal point of view. which is the Born and which is the Poincar´ebox by solely For the sake of explicit demonstration, let us consider observing their output. a particular method of generation of a sequence from sin- It is an open question whether it is possible, by study- gle quantum outcomes [59] by combination of source and ing the output behavior of the “Poincar´ebox” and the beam splitter [60–68]. Ideally (to employ quantum com- “Born box” alone, to differentiate between them. In the plementarity as well as quantum value indefiniteness), absence of any criterion, there should not exist any opera- a system allowing three or more outcomes is prepared tional method or procedure discriminating amongst these to be in a particular pure state “contained” in a cer- boxes. Both types of indeterminism appear to be based tain context (maximal observable [69] or block [70, 71]), on metaphysical assumptions: in the classical case it is and then measured “along” a different context not con- the existence of continua and the possibility to “choose” taining the observable corresponding to that pure state. elements thereof, representing the initial values; in the All outcomes except two are discarded [8, 72], and the quantum case it is the irreducible indeterminism of sin- two remaining outcomes are mapped onto the symbols gle events. “0” and “1,” respectively. If independence of individ- It would indeed be tempting also to compare the per- ual “quantum coin tosses” is assumed — a quite non- formance of these physical “oracles of indeterminism” trivial assumption in view of the Hanbury Brown and with algorithmic cyclic pseydorandom generators, and Twiss effect and other statistical correlations — the con- with irrationals such as π. In recent studies [75] the lat- catenation and algorithmic normalization [73, 74] of sub- ter, deterministic, ones seem to be doing pretty well. sequent recordings of these encoded outcomes yield an In the author’s conviction, the postulate of quantum “absolutely random sequence” relative to the unprovable randomness as well as physical randomness emerging axiomatic assumption of quantum randomness. Since all from the continuum will be maintained by the commu- such operational physical sequences are finite, algorith- nity of physicists at large unless somebody comes up with mic information theory [8] applies to them in a limited, evidence to the contrary. This pragmatic interpretation finite sense. Particular care should be given to the diffi- of the phenomena appears reasonable if and only if re- culties in associating an algorithmic information measure searchers are aware of its relativity with respect to the to “nontrivial” sequences of finite length. tests and attempts of falsification involved; and also ac- In summary, there are two principal sources of inde- knowledge the tentativeness and conventionality of their terminism and randomness in physics: the first source assumptions. is the deterministic chaos associated with instabilities of Acknowledgements classical physical systems, and with the strong depen- The author gratefully acknowledges the kind hospital- dence of their future behavior on the initial value; the ity of the Centre for Discrete Mathematics and Theoret- second source is quantum indeterminism, which can be ical Computer (CDMTCS) of the Department of subdivided into three subcategories: random outcomes Computer Science at The University of Auckland. The of individual events, complementarity, and value indefi- “Poincar´ebox” versus “Born box” comparison emerged niteness. during a walk with Cristian Calude discussing differences The similarities and differences between classical and of classical versus quantum randomness at the Boulevard quantum randomness can be conceptualized in terms of Saint-Germain in Paris. This work was also supported by two “black boxes:” the first one of them — called the The Department for International Relations of the Vi- “Poincar´ebox” — containing a classical, deterministic enna University of Technology.

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