Prime-Indexed Quantum Coherence - Empirical Validation of UMF Predictions

We present experimental evidence of a robust cubic relationship (R² = 0.998) between prime number indices and quantum coherence times (T2) in nitrogen-vacancy (NV) center systems. This relationship, predicted by the Universal Model Framework's prime-fractal hypothesis, suggests fundamental connections between number theory and quantum mechanics. Statistical validation through Anderson-Darling, Shapiro-Wilk, and regression tests confirms this relationship is not attributable to chance, publication bias, or statistical artifacts. This project was developed by Marco Gericke, with structured assistance from a large language model (Perplexity). All scientific concepts and conclusions were generated, verified, and interpreted by the author. Dedicated to Peter Plichta, who envisioned the code before it could be computed.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-19
DOI
https://doi.org/10.5281/zenodo.15247769
Primary Topic
Fractal and DNA sequence analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Prime-Indexed Quantum Coherence - Empirical Validation of UMF Predictions

Zenodo (CERN European Organization for Nuclear Research)
Fractal and DNA sequence analysis
article

Prime-Indexed Quantum Coherence - Empirical Validation of UMF Predictions

article en

Abstract

We present experimental evidence of a robust cubic relationship (R² = 0.998) between prime number indices and quantum coherence times (T2) in nitrogen-vacancy (NV) center systems. This relationship, predicted by the Universal Model Framework's prime-fractal hypothesis, suggests fundamental connections between number theory and quantum mechanics. Statistical validation through Anderson-Darling, Shapiro-Wilk, and regression tests confirms this relationship is not attributable to chance, publication bias, or statistical artifacts. This project was developed by Marco Gericke, with structured assistance from a large language model (Perplexity). All scientific concepts and conclusions were generated, verified, and interpreted by the author. Dedicated to Peter Plichta, who envisioned the code before it could be computed.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Fractal and DNA sequence analysis
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