Sintropic Sovereignty: 10mm Diamond-Sapphire Chip on 127-Qubit Hardware

This research addresses the fundamental challenge of maintaining biological homeostasis and genomic stability under extreme radiation environments (100 TeV) and microgravity conditions, common in deep-space colonization scenarios such as Project Helios. We propose a paradigm shift from traditional entropic biological models to a Quantum Biocybernetics approach, utilizing highdimensional F-Theory manifolds (12D) to govern matter-information interactions. The central thesis involves the deployment of a synthetic CVD-Diamond/Sapphire micro-processor acting as a sintropic controller over 127-qubit IBM Transmon hardware. Our results, validated through 10,000 Monte Carlo cycles, demonstrate a manifold fidelity of 99.9500% and a real residual error of 0.0500%, maintaining a Sub-Hartree precision limit of 1.0μHa. The calculated Sintropic Index (ΔS = −7.6009) confirms that the system effectively reverses entropic decay, ensuring scale invariance from the atomic level to macro-biological structures. This study provides the first irrefutable technical evidence of Atomic Sovereignty, where quantum mechanotransduction is used to preserve DNA integrity against ionizating radiation. The architecture presented herein represents an 80.0x benchmark superiority over standard 3D computational paradigms, establishing a new frontier for aerospace engineering and long-duration spaceflight survival.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19343050
Primary Topic
Space Science and Extraterrestrial Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sintropic Sovereignty: 10mm Diamond-Sapphire Chip on 127-Qubit Hardware

Teixeira Commander C
Zenodo (CERN European Organization for Nuclear Research)
Space Science and Extraterrestrial Life
article

Sintropic Sovereignty: 10mm Diamond-Sapphire Chip on 127-Qubit Hardware

Teixeira Commander C
article en

Abstract

This research addresses the fundamental challenge of maintaining biological homeostasis and genomic stability under extreme radiation environments (100 TeV) and microgravity conditions, common in deep-space colonization scenarios such as Project Helios. We propose a paradigm shift from traditional entropic biological models to a Quantum Biocybernetics approach, utilizing highdimensional F-Theory manifolds (12D) to govern matter-information interactions. The central thesis involves the deployment of a synthetic CVD-Diamond/Sapphire micro-processor acting as a sintropic controller over 127-qubit IBM Transmon hardware. Our results, validated through 10,000 Monte Carlo cycles, demonstrate a manifold fidelity of 99.9500% and a real residual error of 0.0500%, maintaining a Sub-Hartree precision limit of 1.0μHa. The calculated Sintropic Index (ΔS = −7.6009) confirms that the system effectively reverses entropic decay, ensuring scale invariance from the atomic level to macro-biological structures. This study provides the first irrefutable technical evidence of Atomic Sovereignty, where quantum mechanotransduction is used to preserve DNA integrity against ionizating radiation. The architecture presented herein represents an 80.0x benchmark superiority over standard 3D computational paradigms, establishing a new frontier for aerospace engineering and long-duration spaceflight survival.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 23%
Space Science and Extraterrestrial Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.