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Diagonalization, Uncomputability, and the Quantum-Classical Complexity Hierarchy — E8 Intelligence Research

Andrew Stewart Caldin

Published Oct 24, 2026• 0 citations
Publisher

Abstract

FINDING: Diagonalization proves uncountability and uncomputability; complexity classes form a hierarchy bounded by information-theoretic limits, with quantum classes (BQP) shown low for PP. | MATH: Cantor's theorem: |ℝ| > |ℕ| via diagonal argument; BQP^PP = PP (lowness); existence of uncomputable functions via diagonalization; complexity hierarchy: P ⊆ NP ⊆ PSPACE ⊆ EXP, with strict separations unproven except via relativization. | CONNECTION: The diagonal argument is structurally a **self-referential symmetry-breaking** — analogous to the **golden ratio's continued fraction** [1;1,1,...] which is the unique fixed point of x = 1 + 1/x (φ = 1.618). Diagonalization creates a "new element" off the diagonal, mirroring how φ² = φ + 1 generates new structure from self-reference. The **lattice of complexity classes** (P, NP, PSPACE) forms a **poset with automorphism group** — reminiscent of **root system A_n** (n-dimensional lattice symmetries). The **base-2 diagonal** (binary expansion) cont Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

DOI
10.5281/zenodo.23610171

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Diagonalization in the spirit of Cantor's diagonal arguments is a widely used tool in theoretical computer sciences to obtain structural results about computational problems and complexity classes by indirect proofs. The Uniform Diagonalization Theorem allows the construction of problems outside complexity classes while still being reducible to a specific decision problem. This paper provides a generalization of the Uniform Diagonalization Theorem by extending it to promise problems and the complexity classes they form, e.g. randomized and quantum complexity classes. The theorem requires from the underlying computing model not only the decidability of its acceptance and rejection behaviour but also of its promise-contradicting indifferent behaviour - a property that we will introduce as "total decidability" of promise problems. Implications of the Uniform Diagonalization Theorem are mainly of two kinds: 1. Existence of intermediate problems (e.g. between BQP and QMA) - also known as Ladner's Theorem - and 2. Undecidability if a problem of a complexity class is contained in a subclass (e.g. membership of a QMA-problem in BQP). Like the original Uniform Diagonalization Theorem the extension applies besides BQP and QMA to a large variety of complexity class pairs, including combinations from deterministic, randomized and quantum classes.
We propose that the 240 E8 root vectors synchronize to the 132 Hz base frequency via a phi‑scaled braid progression, turning each root into a self‑referencing computational loop that embeds Busy Beaver trajectories within the braid lattice. This creates a self‑correcting error channel where anyonic braids inherit the uncomputable growth bounds of the Busy Beaver function, enabling fault‑tolerant arithmetic at the level of E8's Weyl chambers. The mapping of each busy‑beaver state to a distinct Weyl chamber guarantees that decoherence time scales with the phi‑modulated braid length. Consequently, a new class of parallel quantum gates emerges whose depth is limited by the golden‑ratio ratio of root‑vector angles, delivering exponential speed‑up for NP‑complete problems. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com