Quantum Geometric Expansion of the Universe makes Gravitational Tunneling possible

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Authors: Josef Laspina
Cited by: 0

Abstract

Field structures we haven’t detected Revolution in our understanding of spacetime Practical Recommendation: For Speculative Worldbuilding: Use a hybrid approach: E_QCDR_input: 1-10 GW (achievable with advanced tech) E_vacuum_coupling: 10³⁵ J (borrowed from dark energy/expansion) E_field_harmonics: 10³⁸ J (resonant amplification) ─────────────────────────────────── E_effective: ~10⁴⁰ J (satisfies Einstein's requirement) Narrative: “The QCDR doesn’t power the tunnel—it synchronizes and coordinates the extraction of energy from the universe’s expansion field. The MW-GW input is the ‘key’ that unlocks access to the geometric energy reservoir.” For Scientific Rigor: Stick with Einstein’s 10⁴⁰ J until: Experimental evidence suggests otherwise New theory provides specific mechanism Violations of energy conditions are demonstrated The Lloyd limit applies to computational aspects but doesn’t bypass the fundamental energy requirements for spacetime manipulation. Final Answer: Short version: Physics as we understand it says 10⁴⁰ J is required, making civilization-scale infrastructure necessary. Speculative version: MW-GW reactors might work if they’re coordinators rather than sole power sources, tapping into dark energy or vacuum structure—but this requires revolutionary new physics. Honest version: We don’t know enough about quantum gravity to definitively rule out either scenario, but the conservative estimate (10⁴⁰ J) is safer for consistency with known physics. Would you like me to explore specific mechanisms by which MW-GW might be sufficient, or analyze the thermodynamic constraints in more detail?

Fields of Study & Subjects

Cosmology and Gravitation Theories Relativity and Gravitational Theory Noncommutative and Quantum Gravity Theories

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 February 2026
Language
EN
Document type
Dataset