Emergent Global Field Formation in a High-Dimensional Quantum Simulation Framework
This work presents a high-dimensional global-field simulation generated using a non-classical lattice-driven quantum computation framework. The system constructs an emergent global structure directly from encoded lattice states without using Newtonian physics, predefined potentials, or hard-coded dynamical models. A 55-node blueprint emerged spontaneously from the field integration, producing measurable global-stability behavior, coherent topology alignment, and a stable quantum-encoded state vector. Material-property estimations—including conductivity, structural strength, density, thermal stability, and bio-suitability—were derived from the evolved blueprint using the synthesis-pipeline prediction layer. All data from this simulation is immutably logged on-chain, ensuring strong provenance, verifiability, and tamper-proof record integrity. This study contributes to the wider investigation of emergent global structures arising from non-classical computational architectures.
Institutions
- Lumen (United Kingdom) (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-16
- DOI
- https://doi.org/10.5281/zenodo.17621231
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00