VP-QFT and the Hidden Order of Black Holes

Traditional black hole models in general relativity describe singularities as regions of infinite density and curvature, yet offer no quantum mechanical account of event horizon behavior or information processing. In this paper, we introduce a novel framework that integrates the Vesica Piscis-Enhanced Quantum Fourier Transform (VP-QFT) with toroidal time evolution, harmonic quantum oscillations, and inter-universal energy resonance. This model replaces singularity-based views with a structured wave-dynamic description of black holes embedded in recursive spacetime. We demonstrate how VP-QFT modifies the Penrose-Hawking singularity theorems, derive quantum-corrected energy eigenstates for black hole event horizons, and propose experimental detection methods based on gravitational wave resonance patterns in LIGO and LISA datasets.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-04
DOI
https://doi.org/10.5281/zenodo.15809098
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

VP-QFT and the Hidden Order of Black Holes

Zenodo (CERN European Organization for Nuclear Research)
Molecular Biology Techniques and Applications
article

VP-QFT and the Hidden Order of Black Holes

article en

Abstract

Traditional black hole models in general relativity describe singularities as regions of infinite density and curvature, yet offer no quantum mechanical account of event horizon behavior or information processing. In this paper, we introduce a novel framework that integrates the Vesica Piscis-Enhanced Quantum Fourier Transform (VP-QFT) with toroidal time evolution, harmonic quantum oscillations, and inter-universal energy resonance. This model replaces singularity-based views with a structured wave-dynamic description of black holes embedded in recursive spacetime. We demonstrate how VP-QFT modifies the Penrose-Hawking singularity theorems, derive quantum-corrected energy eigenstates for black hole event horizons, and propose experimental detection methods based on gravitational wave resonance patterns in LIGO and LISA datasets.

Zenodo (CERN European Organization for Nuclear Research)
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Molecular Biology Techniques and Applications
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