PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 7, 20260 citationsOpen Access

The Structural Tension Filament in Ethon-Space: A Physical Mechanism for Quantum Non-Locality within the Genesis-1 Framework / Le Filament de Tension Structurelle dans l'Espace-Éthon : Mécanisme Physique de la Non-Localité Quantique dans le Cadre Genesis-1

View Full Paper
JLJean-Pierre Laine

Key Points

  • The research aims to explain quantum non-locality through the structural tension filament in Ethon-Space.
  • Introduced the concept of Ethon-Space composed of prime-number fractal structures.
  • Described the structural tension filament generated by fracturing coherent Ethon fractals.
  • Developed applications for particle physics, cosmology, and quantum computing.
  • Demonstrated a causal mechanism for quantum non-locality consistent with Bell's inequalities.
  • Provided applications in electron-positron pairs and photon polarization.
  • Offered predictions related to cosmological constants and decoherence.

Abstract

The Genesis-1 framework postulates that space is a structured electromagnetic medium (Ethon-Space) composed of Ethons organized into prime-number fractal structures, with measurable properties ε₀, μ₀, c, Z₀. This document introduces the structural tension filament — a real geometric object produced by any fracture of a coherent Ethon fractal structure. It is a persistent longitudinal deformation of ε₀ along a structural line, whose joint state at both endpoints is defined instantaneously without signal propagation. This mechanism provides a causal and geometric explanation for quantum non-locality, consistent with Bell's inequalities. Applications are developed in particle physics (electron-positron pair, photon polarization), cosmology (physical origin of the cosmological constant, cosmic web), and quantum computing (decoherence as extrinsic perturbation). Falsifiable predictions are provided. Bilingual document: English / French.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jean-Pierre Laine (2026) studied this question.

synapsesocial.com/papers/69d49fe5b33cc4c35a228615https://doi.org/10.5281/zenodo.19241185
Ask AI
Helpful
Bookmark
Share
View Full Paper