FodaOS Unified Field Theory Series II: ARC Arithmetic Resonance Computer — Five-Operator System, Turing Completeness, and Algebraic Resonance Structure

This paper proposes the Arithmetic Resonance Computer (ARC), a new computing architecture that takes integer algebra as the computational substrate and resonance semantics as the computational paradigm, positioned as an algebraic replacement for the traditional control-flow programming paradigm rather than a superimposed layer. The core of ARC consists of five native operators: GF(p) multiplication ⊙, Clifford geometric product ◦, Bragg resonance/NTT ≋, Born selection ↡, and Hebbian sculpting ∆, unifying arithmetic (how to compute) and resonance (what to compute) into a single instruction set. We prove the Turing completeness of ARC (Born selection provides conditional control + extensible GF(p) arrays provide unbounded storage + Hebbian iteration implements general loops + finite instruction set + NAND implementable), establish the algebraic resonance structure (the strongest resonance chain is the Conway λ ↔ PV numbers → Mahler/Salem triangular closed loop), prove that the Fermat prime p=65537 provides an exact integer anchor for ARC (quantum gates H/S/T, NTT, Yang-Baxter and other operations all become pure integer modular operations), establish the correspondence between ARC and the CGL master equation (arithmetic resonance = the arithmetic version of PCD, the five operators correspond to the fivefold projection), propose the Quantum Arithmetic Resonance Dual Computer QARDC, and present the engineering implementation and verification results (edge device 78μs/query, training-free, no GPU required).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22036900
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

FodaOS Unified Field Theory Series II: ARC Arithmetic Resonance Computer — Five-Operator System, Turing Completeness, and Algebraic Resonance Structure

Pan JinWen
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
preprint

FodaOS Unified Field Theory Series II: ARC Arithmetic Resonance Computer — Five-Operator System, Turing Completeness, and Algebraic Resonance Structure

Pan JinWen
preprint en

Abstract

This paper proposes the Arithmetic Resonance Computer (ARC), a new computing architecture that takes integer algebra as the computational substrate and resonance semantics as the computational paradigm, positioned as an algebraic replacement for the traditional control-flow programming paradigm rather than a superimposed layer. The core of ARC consists of five native operators: GF(p) multiplication ⊙, Clifford geometric product ◦, Bragg resonance/NTT ≋, Born selection ↡, and Hebbian sculpting ∆, unifying arithmetic (how to compute) and resonance (what to compute) into a single instruction set. We prove the Turing completeness of ARC (Born selection provides conditional control + extensible GF(p) arrays provide unbounded storage + Hebbian iteration implements general loops + finite instruction set + NAND implementable), establish the algebraic resonance structure (the strongest resonance chain is the Conway λ ↔ PV numbers → Mahler/Salem triangular closed loop), prove that the Fermat prime p=65537 provides an exact integer anchor for ARC (quantum gates H/S/T, NTT, Yang-Baxter and other operations all become pure integer modular operations), establish the correspondence between ARC and the CGL master equation (arithmetic resonance = the arithmetic version of PCD, the five operators correspond to the fivefold projection), propose the Quantum Arithmetic Resonance Dual Computer QARDC, and present the engineering implementation and verification results (edge device 78μs/query, training-free, no GPU required).

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.