SEDENION 16-DIMENSIONAL NON-LOCAL MEMORY ARCHITECTURES FOR CENTRAL DATA INFRASTRUCTURE OPTIMIZATION ON TITAN
This module establishes the foundational network blueprint for the central data infrastructure of the Titan colony, integrating hypercomplex non-associative algebras to prevent information loss under extreme cryogenic and high-load processing conditions. Within the global Khanhnions 96D Hilbert space, the decoupled 16-dimensional memory density matrix is extracted via the non-local partial trace projection: rho_S = Tr_80( rho_96 ) This mathematical operation isolates the storage arrays from the 80 auxiliary structural dimensions, securing topological boundaries against cosmic noise or quantum fluctuations.
Authors
- Kim Khanh Nguyen (ORCID: https://orcid.org/0009-0006-9191-1441)
Institutions
- University of Khanh Hoa (VN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-01
- DOI
- https://doi.org/10.5281/zenodo.23851936
- Primary Topic
- Algebraic and Geometric Analysis
- Type
- preprint