- Featured in Physics
- Editors' Suggestion
- Open Access
Summing to uncertainty: On the necessity of additivity in deriving the Born rule
Phys. Rev. A 114, 042208 – Published 13 October, 2026
DOI: https://doi.org/10.1103/mqy7-s2db
Abstract
The emergence of intrinsic probability is one of the central problems in quantum mechanics, and investigating the origin of the Born rule provides the most direct approach to this problem. Many derivations of the Born rule have been proposed based on different postulates and frameworks. Identifying which postulates are genuinely necessary is therefore essential for understanding the origin of quantum probability. Here we prove that two postulates commonly employed in derivations of the Born rule, additivity and noncontextuality, are not equivalent and thus cannot be unified into a single postulate. We further show that the additivity postulate is indispensable in five major derivations of the Born rule: Gleason's theorem, Busch's extension of Gleason's theorem, the Deutsch-Wallace theorem, Zurek's envariance derivation, and the Finkelstein-Hartle theorem. We demonstrate that these derivations rely either on explicit additivity assumptions or on implicit forms of additivity embedded in the original arguments and that removing or weakening additivity gives rise to significant problems in the derivations. Our results support the view that additional postulates with intrinsic probabilistic properties should be introduced to derive the Born rule.
Physics Subject Headings (PhySH)
Viewpoint
Quantum Probability Requires Probability
A new analysis reveals that all major derivations of the Born rule depend on a probabilistic assumption.
See more in Physics
Article Text
References (49)
- T. Norsen, The measurement problem, in Foundations of Quantum Mechanics: An Exploration of the Physical Meaning of Quantum Theory (Springer International, Cham, 2017), pp. 59–85.
- A. A. Tomaz, R. S. Mattos, and M. Barbatti, The quantum measurement problem: A review of recent trends, Philos. Mag. 1 (2025).
- M. Born, On the quantum mechanics of collision processes [English translation], Terry's Archive Online 2021, 0828 (2021).
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, Cambridge, UK, 2010).
- P. A. M. Dirac, The Principles of Quantum Mechanics (Clarendon Press, Oxford, 1958).
- J. von Neumann and R. T. Beyer, Mathematical Foundations of Quantum Mechanics: New Edition (Princeton University Press, Princeton, NJ, 2018).
- W. H. Zurek, Quantum theory of the classical: Quantum jumps, Born's rule and objective classical reality via quantum Darwinism, Philos. Trans. R. Soc. A 376, 20180107 (2018).
- C. M. Caves and R. Schack, Properties of the frequency operator do not imply the quantum probability postulate, Ann. Phys. 315, 123 (2005).
- M. Pawłowski, T. Paterek, D. Kaszlikowski, V. Scarani, A. Winter, and M. Żukowski, Information causality as a physical principle, Nature (London) 461, 1101 (2009).
- A. M. Gleason, Measures on the closed subspaces of a Hilbert space, J. Math. Mech. 6, 885 (1957).
- P. Busch, Quantum states and generalized observables: A simple proof of Gleason's theorem, Phys. Rev. Lett. 91, 120403 (2003).
- D. Deutsch, Quantum theory of probability and decisions, Proc. R. Soc. Lond. Ser. A 455, 3129 (1999).
- W. H. Zurek, Probabilities from entanglement, Born's rule from envariance, Phys. Rev. A 71, 052105 (2005).
- J. B. Hartle, Quantum mechanics of individual systems, Am. J. Phys. 36, 704 (1968).
- D. Finkelstein, Section of physical sciences: The logic of quantum physics, Trans. N. Y. Acad. Sci. 25, 621 (1963).
- H. Everett, “Relative state” formulation of quantum mechanics, Rev. Mod. Phys. 29, 454 (1957).
- L. Vaidman, Derivations of the Born rule, in Quantum, Probability, Logic: The Work and Influence of Itamar Pitowsky, edited by M. Hemmo and O. Shenker (Springer International, Cham, 2020), pp. 567–584.
- F. Logiurato and A. Smerzi, Born rule and noncontextual probability, J. Mod. Phys. 03, 1802 (2012).
- G. Folland, Real Analysis: Modern Techniques and Their Applications, Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts (Wiley, New York, 2013).
- H. Barnum, C. M. Caves, J. Finkelstein, C. A. Fuchs, and R. Schack, Quantum probability from decision theory? Proc. R. Soc. Lond. Ser. A 456, 1175 (2000).
- C. M. Caves, C. A. Fuchs, and R. Schack, Quantum probabilities as Bayesian probabilities, Phys. Rev. A 65, 022305 (2002).
- C. M. Caves, C. A. Fuchs, K. K. Manne, and J. M. Renes, Gleason-type derivations of the quantum probability rule for generalized measurements, Found. Phys. 34, 193 (2004).
- J. B. DeBrota, C. A. Fuchs, J. L. Pienaar, and B. C. Stacey, Born's rule as a quantum extension of bayesian coherence, Phys. Rev. A 104, 022207 (2021).
- A. Esmaili Zaghi, Natural emergence of the Born rule from relational quantum dynamics (RQD) (2025), https://doi.org/10.31219/osf.io/j73ak_v1.
- A. Proxmire, The Born rule as a forced theorem of event density: A Gleason-Busch reconstruction from first principles (2026), https://philpapers.org/rec/PROTBR.
- S. Saunders, Derivation of the Born rule from operational assumptions, Proc. R. Soc. A 460, 1771 (2004).
- A. J. Short, Probability in many-worlds theories, Quantum 7, 971 (2023).
- E. Farhi, J. Goldstone, and S. Gutmann, How probability arises in quantum mechanics, Ann. Phys. 192, 368 (1989).
- J. S. Bell, On the problem of hidden variables in quantum mechanics, Rev. Mod. Phys. 38, 447 (1966).
- M. Schlosshauer and A. Fine, On Zurek's derivation of the Born rule, Found. Phys. 35, 197 (2005).
- J. Lawrence, The Born rule: Axiom or result? Am. J. Phys. 92, 371 (2024).
- R. Cooke, M. Keane, and W. Moran, An elementary proof of Gleason's theorem, Math. Proc. Cambr. Philos. Soc. 98, 117 (1985).
- A. Grudka and P. Kurzyński, Is there contextuality for a single qubit? Phys. Rev. Lett. 100, 160401 (2008).
- G. Hermann, Determinism and quantum mechanics, in Grete Hermann—Between Physics and Philosophy, edited by E. Crull and G. Bacciagaluppi (Springer Netherlands, Dordrecht, 2016), pp. 223–237.
- S. Axler, Linear maps, in Linear Algebra Done Right (Springer International, Cham, 2024), pp. 51–118.
- D. Wallace, How to prove the Born rule, in Many Worlds? Everett, Quantum Theory, and Reality, edited by S. Saunders, J. Barrett, A. Kent, and D. Wallace (Oxford University Press, Oxford, 2010), pp. 227–263.
- L. Vaidman, Probability in the many-worlds interpretation of quantum mechanics, in Probability in Physics, edited by Y. Ben-Menahem and M. Hemmo (Springer, Berlin, 2012), pp. 299–311.
- H. Price, Decisions, decisions, decisions: Can Savage salvage Everettian probability? in Many Worlds? Everett, Quantum Theory, and Reality, edited by S. Saunders, J. Barrett, A. Kent, and D. Wallace (Oxford University Press, Oxford, 2010), pp. 369–390.
- R. Dawid and K. P. Thébault, Against the empirical viability of the Deutsch–Wallace–Everett approach to quantum mechanics, Stud. Hist. Philos. Sci. Part B 47, 55 (2014).
- M. Ridley, Many retrocausal worlds: A foundation for quantum probability, Eur. J. Philos. Sci. 15, 70 (2025).
- H. Barnum, No-signalling-based version of Zurek's derivation of quantum probabilities: A note on “environment-assisted invariance, entanglement, and probabilities in quantum physics”, arXiv:quant-ph/0312150.
- C. M. Caves, Notes on Zurek's derivation of the quantum probability rule (2005), http://info.phys.unm.edu/caves/reports/ZurekBornderivation.pdf.
- W. H. Zurek, Decoherence, einselection, and the quantum origins of the classical, Rev. Mod. Phys. 75, 715 (2003).
- E. J. Squires, On an alleged “proof” of the quantum probability law, Phys. Lett. A 145, 67 (1990).
- D. Dörr, S. Goldstein, and N. Zanghí, Quantum equilibrium and the origin of absolute uncertainty, J. Stat. Phys. 67, 843 (1992).
- Additive functions and convex functions, in An Introduction to the Theory of Functional Equations and Inequalities: Cauchy's Equation and Jensen's Inequality, edited by A. Gilányi (Birkhäuser Basel, Basel, 2009), pp. 117–142.
- R. Ash and C. Doleans-Dade, Probability and Measure Theory (Elsevier Science, Amsterdam, 2000).
- Algebra, in An Introduction to the Theory of Functional Equations and Inequalities: Cauchy's Equation and Jensen's Inequality, edited by A. Gilányi (Birkhäuser Basel, Basel, 2009), pp. 75–114.
- Elementary properties of convex functions, in An Introduction to the Theory of Functional Equations and Inequalities: Cauchy's Equation and Jensen's Inequality, edited by A. Gilányi (Birkhäuser Basel, Basel, 2009), pp. 143–159.