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ZENODO
Preprint . 2026
Data sources: ZENODO
ZENODO
Preprint . 2026
Data sources: Datacite
ZENODO
Preprint . 2026
Data sources: Datacite
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A Noise-Invariant Determinism Theorem for Multi-Base Post-Processing in Shor's Order Finding (v0.5.1: nonstabilizerness / magic — coding-theory of marker sets + oracle-hiding as T-cost)

Authors: Hashevolution;

A Noise-Invariant Determinism Theorem for Multi-Base Post-Processing in Shor's Order Finding (v0.5.1: nonstabilizerness / magic — coding-theory of marker sets + oracle-hiding as T-cost)

Abstract

v0.5.1 extends the magic (nonstabilizerness) direction of v0.5.0 (DOI 10.5281/zenodo.20725965). The six order-finding theorems (T1-T6) are RETAINED unchanged; the magic direction is now integrated into the canonical paper as Section 9. NEW IN v0.5.1: (1) A coding-theory of marker sets for the flat state |flat_W> over a support W in F2^n: an additive-energy closed form M2 = -log2(M^-4 sum_x E(W cap (W+x))) (Prop 4), the exact zero-test M2=0 iff the autocorrelation A_W is two-valued ({0,M}) iff W is an affine subspace, a Sidon (B2) law M2 = log2(M^3/(7M-6)) -> 2 log2 M - log2 7 (Prop 5), and an exact expectation for a uniform random M-subset E[xi] M^4 = (7M^2-6M) + 7(M)_4/(N-3) + N(N-1)(N-2)(N-4)(M)_8/(N)_8 (Prop 5'). The minimum Hamming distance is shown NOT to determine magic ({0,1,2,3} vs {0,1,2,4} share d_min=1 but M2=0 vs 1.54). (2) Oracle-hiding = T-cost (Prop 6): M2(graph state of f) > 0 iff f has a degree>=2 ANF monomial iff the oracle U_f needs non-Clifford (Toffoli/T) gates, all zero iff f is affine; a fault-tolerant resource estimate (oracle_ftqc_estimate.py) converts the nonlinear ANF (degree-d monomial -> (2d-3) Toffolis -> 7T each) into a T-count, with the honest caveat that per-output-bit ANF synthesis is an UPPER bound (real modular exponentiation is far cheaper via windowed arithmetic; cf. Gidney-Ekera 2021). HONEST NOVELTY AUDIT (the headline of this release): full-text comparison of all four codemagic literatures shows the flat-state closed form (Prop 4) is the uniform-support specialization of Tarabunga-Castelnovo's Rokhsar-Kivelson SRE formula (Quantum 8, 1347 (2024), Eq. 8) -- CREDITED, not claimed as new -- and the 2 log M growth rate is the saturation of the standard bound M_alpha 0; Grover quadratic -> bounded, density 0; Shor exponential -> growing), and a 42-assertion proposition checker (all pass). ALSO ADDED LATE IN v0.5.1 (JAMES-DISCOVER): an automated discovery loop (Generator -> Probe -> Miner -> Adversary -> Promoter, numpy-only, no LLM) layered on the existing magic infrastructure. The loop first passes a D1 sanity gate by re-deriving the Sidon constant and the additive-energy closed form from scratch (discover_poc.py), then yields a D3 finding (discover_d3_jensen.py) that PARTIALLY CLOSES one of v0.5.1's listed open items: defining the Jensen gap J(M,N) := E[M2] + log2 E[xi] >= 0, the loop discovers J ~ 1/N in the sparse regime M^2 1 and the prefactor kappa(M) = J * N remain open. numpy + Python standard library only; no quantum libraries required.

Keywords

regev factoring, multi-base, quantum Fourier transform, integer factoring, nonstabilizerness, Simon's algorithm, quantum computing, closed-form sigma-curve, Sidon set, quantum speedup, quantum resource theory, stabilizer Renyi entropy, magic state distillation, magic, Grover's algorithm, T-count, quantum stochastic resonance, post-processing, dephasing, Rokhsar-Kivelson wavefunction, Shor's algorithm, phase noise, Clifford circuits, order finding, additive energy, Grover multiple marked, algebraic normal form, fault-tolerant quantum computing, Reed-Muller code, Gottesman-Knill, additive combinatorics, cross-algorithm verification, coding theory, noise-invariance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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