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This paper provides a rigorous mathematical derivation showing that the Born rule emerges naturally from metric constraints on quantum measurement apparatuses rather than being an independent axiom. By proving that specific continuity and calibration conditions force probability readouts to match standard quantum predictions, it deepens our fundamental understanding of why projective measurements behave as they do in Hilbert space. The work clarifies the boundary between projective measurements where this derivation holds and more general POVMs where alternative non-Born outcomes remain possible under identical metric assumptions.
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The Born Rule for Projective Measurements from Metric Non-Expansion and Calibration

arXiv3 min read

arXiv:2604.27339v2 Announce Type: replace Abstract: Why should a calibrated quantum measurement report Born probabilities? Fix a finite dimension $d\geq 2$ and a projective measurement $M$ on $\mathbb{C}^d$, and let $P_M$ be a map assigning outcome probabilities to pure states. I prove that three per-apparatus hypotheses force $P_M$ to be the Born readout: the square-root readout $R_M=\sqrt{P_M}$ is absolutely continuous along Fubini--Study geodesics; the classical Fisher speed of the output never exceeds the quantum Fisher speed of the input almost everywhere on smooth pure-state curves; and the readout reports certainty on every state in each labeled eigenspace. Taking square roots turns probabilities into coordinates on a spherical orthant, and calibration pins the vertices. The metric hypotheses make $R_M$ globally $1$-Lipschitz from Fubini--Study to round distance, so the readout cannot move farther from any calibrated vertex: every coordinate is at least its Born value, both vectors have unit norm, and they are equal. The hypotheses are per measurement; imposing them in every projective context yields the Born assignment on all projective measurements, at every $d\geq 2$, with noncontextuality arriving as an output rather than an axiom. The metric argument stops at projective measurements: for every non-projective POVM, an explicit family of non-Born readouts satisfies the same metric hypotheses even with the stated certainty-of-occurrence calibration.

Abstract:Why should a calibrated quantum measurement report Born probabilities? Fix a finite dimension $d\geq 2$ and a projective measurement $M$ on $\mathbb{C}^d$, and let $P_M$ be a map assigning outcome probabilities to pure states. I prove that three per-apparatus hypotheses force $P_M$ to be the Born readout: the square-root readout $R_M=\sqrt{P_M}$ is absolutely continuous along Fubini--Study geodesics; the classical Fisher speed of the output never exceeds the quantum Fisher speed of the input almost everywhere on smooth pure-state curves; and the readout reports certainty on every state in each labeled eigenspace. Taking square roots turns probabilities into coordinates on a spherical orthant, and calibration pins the vertices. The metric hypotheses make $R_M$ globally $1$-Lipschitz from Fubini--Study to round distance, so the readout cannot move farther from any calibrated vertex: every coordinate is at least its Born value, both vectors have unit norm, and they are equal. The hypotheses are per measurement; imposing them in every projective context yields the Born assignment on all projective measurements, at every $d\geq 2$, with noncontextuality arriving as an output rather than an axiom. The metric argument stops at projective measurements: for every non-projective POVM, an explicit family of non-Born readouts satisfies the same metric hypotheses even with the stated certainty-of-occurrence calibration.

arXiv:2604.27339 [quant-ph]

(or arXiv:2604.27339v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2604.27339 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 296 words

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