[Depreciated and replaced by V3] No Dice: The Double-Slit Is Deterministic - Quantum Probability Is a Discrete Preimage Count

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Authors: Maria Smith
Cited by: 16
References: 1

Abstract

[Depreciated and replaced by V3] This pre-V3 paper is replaced by the corresponding V3 clean-room reconstruction: The Quantum Fold Machine - An Exact, Parameter-Free and Machine-Closed Derivation of Reversible and Quantum Computation from Smithian Fold Theory. The V3 source platform is https://github.com/MettaMazza/ernos-labs-sft-platform. The original DOI, concept DOI, version number and files are preserved for transparent historical provenance; this record must not be presented or cited as current V3 work. One axiom. One operation. Zero free parameters. For a century quantum mechanics has been read as irreducibly random — God plays dice. This paper gives the fold’s reading of the double-slit, and there are no dice in it. The interference pattern is deterministic: where two fold paths arrive opposed they cancel to the One and the spot is forbidden (a dark band); where aligned they survive (a bright band), and the bands fall on a discrete standing-mode comb — the fold’s stationary states. What the textbook calls probability is a discrete preimage count (the atomic branch weight 1/8), not a continuum likelihood. The single-shot appearance of randomness is the non-invertible (two-to-one) fold’s self-opacity: a state cannot read which preimage it came from. No probability, no continuum, no dice. The determinism is non-local and survives Bell, which excludes only local hidden variables. Machine-checked; reproduces from one command. A standalone result within the Smithian Fold Theory of Everything (SFTOE). Full corpus, code, and the run-it-yourself VERIFY.md protocol: https://github.com/MettaMazza/Smithian-Fold-Theory

Fields of Study & Subjects

Quantum Mechanics and Applications Origins and Evolution of Life Computability Logic AI Algorithms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 June 2026
Language
EN