Skip to content
aiqbench takeQuantum Computing

aiqbench analysis

This paper derives the Born rule as a necessary consequence of reconciling reversible linear evolution with irreversible record formation, eliminating the need for it to be an independent probabilistic postulate. By applying Lamperti's isometry theorem under constraints of phase invariance and continuous mixing, the authors uniquely identify the quadratic measure (p=2) as the only solution compatible with both regimes. The work offers a foundational theoretical advance in quantum mechanics by grounding probability in structural dynamics rather than measurement interpretation.
Sources coveringarXiv, AI Alignment Forum
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Borns Rule from Reversible Evolution and Irreversible Outcomes

arXiv2 min read

arXiv:2604.07418v2 Announce Type: replace Abstract: We show that the quadratic measure associated with the Born rule need not be introduced as an independent probabilistic postulate, but follows, under the stated structural and regularity assumptions, from the compatibility between reversible linear evolution and the formation of stable records. Physical processes alternate between reversible dynamics and episodes of record formation. Quantities that remain well defined throughout such processes must therefore admit a representation that remains consistent across both regimes. Prior to record formation, alternatives combine additively at the level of complex amplitudes, whereas successive record-forming distinctions admit a multiplicative representation through refinement. Requiring compatibility between these compositional structures constrains the admissible weight assignment to the family of weights proportional to the pth power of the amplitude magnitude. The finite-dimensional specialization of Lamperti's isometry theorem then singles out p = 2 as the unique value compatible with continuous reversible linear mixing while preserving total weight. The Born rule therefore emerges as the unique weight assignment compatible with reversible linear composition, multiplicative record refinement, phase invariance, and continuous reversible invariance, without invoking probabilistic assumptions or a specific interpretation of quantum measurement.

Abstract:We show that the quadratic measure associated with the Born rule need not be introduced as an independent probabilistic postulate, but follows, under the stated structural and regularity assumptions, from the compatibility between reversible linear evolution and the formation of stable records. Physical processes alternate between reversible dynamics and episodes of record formation. Quantities that remain well defined throughout such processes must therefore admit a representation that remains consistent across both regimes. Prior to record formation, alternatives combine additively at the level of complex amplitudes, whereas successive record-forming distinctions admit a multiplicative representation through refinement. Requiring compatibility between these compositional structures constrains the admissible weight assignment to the family of weights proportional to the pth power of the amplitude magnitude. The finite-dimensional specialization of Lamperti's isometry theorem then singles out p = 2 as the unique value compatible with continuous reversible linear mixing while preserving total weight. The Born rule therefore emerges as the unique weight assignment compatible with reversible linear composition, multiplicative record refinement, phase invariance, and continuous reversible invariance, without invoking probabilistic assumptions or a specific interpretation of quantum measurement.

Published version. 11 pages, 1 figure. Derivation of the Born rule from compatibility between reversible evolution and irreversible outcomes

arXiv:2604.07418 [quant-ph]

(or arXiv:2604.07418v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2604.07418 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.4236/jmp.2026.1710056 Focus to learn more DOI(s) linking to related resources

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 300 words

Related coverage