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The Born Rule is a Feature of Superposition

David Ellerman

Published Nov 28, 2023• 0 citations
Publisher

Abstract

The Born Rule plays a critical role in quantum mechanics (QM) since it supplies the link between the mathematical formalism and experimental results in terms of probabilities. The Born Rule does not occur in ordinary probability theory. Where then does it come from? This has been a topic of considerable controversy in the literature. We take the approach of asking what is the simplest extension of ordinary probability theory where the Born rule appears. This is answered by showing that the Born Rule appears by adding the notion of superposition events (in addition to the ordinary discrete events) to finite probability theory. Hence the rule does not need any physics-based derivation. It is simply a feature of the mathematics of superposition when only superposition events are added to ordinary probability theory.

DOI
10.32388/ysqjql.2

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The Born Rule plays a critical role in quantum mechanics (QM) since it supplies the link between the mathematical formalism and experimental results in terms of probabilities. The Born Rule does not occur in ordinary probability theory. Where then does it come from? This has been a topic of considerable controversy in the literature. We take the approach of asking what is the simplest extension of ordinary probability theory where the Born rule appears. This is answered by showing that the Born Rule appears by adding the notion of superposition events (in addition to the ordinary discrete events) to finite probability theory. Hence the rule does not need any physics-based derivation. It is simply a feature of the mathematics of superposition when only superposition events are added to ordinary probability theory.

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The Born Rule is a Feature of Superposition

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Finite probability theory is enriched by introducing the mathematical notion (no physics involved) of a superposition event \(\Sigma S\)--in addition to the usual discrete event \(S\) (subset of the outcome space \(U=\left( u_{1},...,u_{n}\right)\)). Mathematically, the two types of events are distinguished using \(n\times n\) density matrices. The density matrix \(\rho\left( S\right)\) for a discrete event is diagonal and the density matrix \(\rho\left( \Sigma S\right)\) is obtained as an outer product \(\left\vert s\right\rangle \left\langle s\right\vert\) of a normalized vector \(\left\vert s\right\rangle \in\mathbb{R}^{n}\). Probabilities are defined using density matrices as \(\Pr\left( T|\rho\right) =\operatorname*{tr}\left[ P_{T}\rho\right]\) where \(T\subseteq U\) and \(P_{T}\) is the diagonal projection matrix with diagonal entries \(\chi_{T}\left( u_{i}\right)\). Then for the singleton \(\left\{ u_{i}\right\} \subseteq U\), the probability of the outcome \(u_{i}\) conditioned by the _superposition_ event \(\Sigma S\) is \(\Pr\left( \left\{ u_{i}\right\} |\Sigma S\right) =\left\langle u_{i}|s\right\rangle ^{2}\), the Born Rule. Thus the Born Rule arises naturally from the mathematics of superposition when superposition events are added to ordinary finite probability theory. No further explanation is required when the mathematics uses \(\mathbb{C}^{n}\) instead of \(\mathbb{R}^{n}\) except that the square \(\left\langle u_{i}|s\right\rangle ^{2}\) is the absolute square \(\left\vert \left\langle u_{i}|s\right\rangle \right\vert ^{2}\).

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The Born Rule plays a critical role in quantum mechanics (QM) since it supplies the link between the mathematical formalism and experimental results in terms of probabilities. The Born Rule does not occur in ordinary probability theory. Where then does it come from? This has been a topic of considerable controversy in the literature. We take the approach of asking what is the simplest extension of ordinary probability theory where the Born rule appears. This is answered by showing that the Born Rule appears by adding the notion of superposition events (in addition to the ordinary discrete events) to finite probability theory. Hence the rule does not need any physics-based derivation. It is simply a feature of the mathematics of superposition when only superposition events are added to ordinary probability theory.
The Born Rule plays a critical role in quantum mechanics (QM) since it supplies the link between the mathematical formalism and experimental results in terms of probabilities. The Born Rule does not occur in ordinary probability theory. Where then does it come from? This has been a topic of considerable controversy in the literature. We take the approach of asking what is the simplest extension of ordinary probability theory where the Born rule appears. This is answered by showing that the Born Rule appears by adding the notion of superposition events (in addition to the ordinary discrete events) to finite probability theory. Hence the rule does not need any physics-based derivation. It is simply a feature of the mathematics of superposition when only superposition events are added to ordinary probability theory.
Finite probability theory is enriched by introducing the mathematical notion (no physics involved) of a superposition event ΣS\Sigma SΣS--in addition to the usual discrete event SSS (subset of the outcome space U=(u1,...,un)U=\left( u_{1},...,u_{n}\right)U=(u1​,...,un​)). Mathematically, the two types of events are distinguished using n×nn\times nn×n density matrices. The density matrix ρ(S)\rho\left( S\right)ρ(S) for a discrete event is diagonal and the density matrix ρ(ΣS)\rho\left( \Sigma S\right)ρ(ΣS) is obtained as an outer product ∣s⟩⟨s∣\left\vert s\right\rangle \left\langle s\right\vert∣s⟩⟨s∣ of a normalized vector ∣s⟩∈Rn\left\vert s\right\rangle \in\mathbb{R}^{n}∣s⟩∈Rn. Probabilities are defined using density matrices as Pr⁡(T∣ρ)=tr⁡[PTρ]\Pr\left( T|\rho\right) =\operatorname*{tr}\left[ P_{T}\rho\right]Pr(T∣ρ)=tr[PT​ρ] where T⊆UT\subseteq UT⊆U and PTP_{T}PT​ is the diagonal projection matrix with diagonal entries χT(ui)\chi_{T}\left( u_{i}\right)χT​(ui​). Then for the singleton {ui}⊆U\left\{ u_{i}\right\} \subseteq U{ui​}⊆U, the probability of the outcome uiu_{i}ui​ conditioned by the _superposition_ event ΣS\Sigma SΣS is Pr⁡({ui}∣ΣS)=⟨ui∣s⟩2\Pr\left( \left\{ u_{i}\right\} |\Sigma S\right) =\left\langle u_{i}|s\right\rangle ^{2}Pr({ui​}∣ΣS)=⟨ui​∣s⟩2, the Born Rule. Thus the Born Rule arises naturally from the mathematics of superposition when superposition events are added to ordinary finite probability theory. No further explanation is required when the mathematics uses Cn\mathbb{C}^{n}Cn instead of Rn\mathbb{R}^{n}Rn except that the square ⟨ui∣s⟩2\left\langle u_{i}|s\right\rangle ^{2}⟨ui​∣s⟩2 is the absolute square ∣⟨ui∣s⟩∣2\left\vert \left\langle u_{i}|s\right\rangle \right\vert ^{2}∣⟨ui​∣s⟩∣2.
We deduce the Born rule from a purely statistical take on quantum theory within minimalistic math-setup. No use is required of quantum postulates. One exploits only rudimentary quantum mathematics—a linear, not Hilbert’, vector space—and empirical notion of the Statistical Length of a state. Its statistical nature comes from the lab micro-events (detector-clicks) being formalized into the C -coefficients of quantum superpositions. We also comment that not only has the use not been made of quantum axioms (scalar-product, operators, interpretations , etc.), but that the involving thereof would be, in a sense, inconsistent when deriving the rule. In point of fact, the quadratic character of the statistical length, and even not (the ‘physics’ of) Born’s formula, represents a first step in constructing the mathematical structure we name the Hilbert space of quantum states.
The emergence of intrinsic probability has long been one of the most important and puzzling problems in quantum mechanics, and the law most directly related to this problem is the Born rule. For a century, there have been many attempts to derive the Born rule as a theorem rather than postulating it. However, existing derivations of the Born rule are each based on different frameworks and have attracted different criticisms. The assumptions from which they start are also highly divergent, and the connections between them have not been sufficiently studied. These possible connections are very likely to be the key to answering questions about the origin of probability in quantum mechanics. This paper focuses on proving the necessity and indispensability of the additivity assumption in the derivation of the Born rule. This supports the view that the Born rule cannot be derived solely from other non-probabilistic quantum or additional postulates. We first prove that additivity cannot be derived from two other commonly used non-probabilistic additional assumptions, non-contextuality and normalization. Then we analyze the crucial role of the additivity assumption in five important existing derivations of the Born rule. These include Gleason's Theorem, Busch's extension of Gleason's Theorem, the Deutsch-Wallace Theorem, Zurek's envariance proof, and the Finkelstein-Hartle Theorem. We show that these derivations either depend heavily on the additivity assumption or lead to obvious loopholes due to the lack of additivity. We also point out some problems arised from the lack of a non-contextuality assumption. Our results provide a novel insight into the important role of additivity assumption in quantum measurement, as well as into the origin of probability in quantum mechanics.
One of the most successful, yet most puzzling, structures of quantum mechanics is Born's rule:P(\mathbf{x},t)=|\Psi(\mathbf{x},t)|^2.It establishes, with extraordinarily high experimental accuracy, the connection between the quantum wave function and the statistical distribution of actual measurement outcomes. Yet a more fundamental question remains worth asking: Why is probability given precisely by the modulus squared of the complex wave amplitude? Standard quantum mechanics uses Born's rule as a fundamental rule. This paper instead poses an open research question: Could Born's rule be not an irreducible probabilistic axiom, but a statistical emergence resulting from the combined action of continuous wave-amplitude superposition, quantized energy exchange, and local interaction dynamics? We propose a candidate physical picture:wave-amplitude superposition->spatial interference structure->local interaction->quantized energy exchange->discrete events}->probability distribution The central mathematical question is \Gamma(\mathbf{x})\stackrel{?}{\propto}|\Psi(\mathbf{x})|^2 where Γ(x)\Gamma(\mathbf{x})Γ(x) denotes the occurrence rate of localized discrete detection events. This paper does not claim to have completed such a derivation. Instead, it explicitly formulates the problem as an \textbf{open, computable, testable, and falsifiable research challenge}. We particularly invite young physicists, mathematicians, and researchers skilled in AI and modern computational tools to explore this problem.
The Born-rule, which assigns probabilities to measurement outcomes, is one of the fundamental axioms of quantum physics. It dates back to the time of the establishment of the formalism of quantum physics in the first half of the 20th century. From the beginning, and particularly in connection with the development of different interpretations of the theory, there has been a desire/need to better understand the true nature of the Born-probabilities. Are they classical/epistemic of origin or are they irreducible and of on tic stature as a kind of intrinsic propensities of physical systems? We show that, by only using the mathematical formalism of the original theory, we find a possible answer.