Cohesion Computing

Cohesion Computing is a proposed computational architecture based on the two geometrically stable recursion states of the cohesion field at the electromagnetic scale:the Hexpolar state (n = 6) and the Bipolar state (n = 2). These states arise from thegeometric exclusion theorem of the funneled-spring recursion under the pressure axiom,which permits only two stable torsion-slip configurations. The transition between themis discrete, topologically protected, and pressure-driven — forming a natural binarylogic system. Version 2 adds three developments: (1) a Cohesion UFT reframingof the qubit as a metastable hexapolar-to-bipolar recursion deformation, explainingwhy quantum computing is fundamentally fragile; (2) identification of the unipolarstate (n = 1), accessible when a recursion is captured by an external coherence nodesuch as a Lagrange point, and why unipolar computing is inherently dissipative; and(3) the explicit statement that Cohesion Computing uses the stable attractors directly,avoiding both the metastability of the qubit and the continuous dissipation of theunipolar state. The primary near-term physical candidate remains graphene at theDirac point, where the Wiedemann-Franz violation is the direct observational signatureof the n = 6 → n = 2 threshold crossing. The natural clock frequency is 647 THz.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-25
DOI
https://doi.org/10.5281/zenodo.19770706
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Cohesion Computing

Dexter Gilbert
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Cohesion Computing

Dexter Gilbert
article en

Abstract

Cohesion Computing is a proposed computational architecture based on the two geometrically stable recursion states of the cohesion field at the electromagnetic scale:the Hexpolar state (n = 6) and the Bipolar state (n = 2). These states arise from thegeometric exclusion theorem of the funneled-spring recursion under the pressure axiom,which permits only two stable torsion-slip configurations. The transition between themis discrete, topologically protected, and pressure-driven — forming a natural binarylogic system. Version 2 adds three developments: (1) a Cohesion UFT reframingof the qubit as a metastable hexapolar-to-bipolar recursion deformation, explainingwhy quantum computing is fundamentally fragile; (2) identification of the unipolarstate (n = 1), accessible when a recursion is captured by an external coherence nodesuch as a Lagrange point, and why unipolar computing is inherently dissipative; and(3) the explicit statement that Cohesion Computing uses the stable attractors directly,avoiding both the metastability of the qubit and the continuous dissipation of theunipolar state. The primary near-term physical candidate remains graphene at theDirac point, where the Wiedemann-Franz violation is the direct observational signatureof the n = 6 → n = 2 threshold crossing. The natural clock frequency is 647 THz.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 5%
Neural Networks and Reservoir Computing
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Cohesion Computing — Dexter Gilbert · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS