Reconstruction-Based Teleportation: Deterministic Data Reproduction via High-Dimensional Mersenne Coordinates
Abstract
Conventional computing systems rely on storing, transmitting, and processing data as static objects. This paradigm introduces fundamental limitations in bandwidth, energy consumption, security, and scalability. In this work, we present a reconstruction-based teleportation framework in which data is neither transmitted nor stored. Instead, input data is transformed into a high-dimensional coordinate representation (Image Gene) defined over a 4096-dimensional Mersenne-based lattice. The original result is deterministically reproduced from these coordinates without data movement. This work establishes reconstruction-based teleportation as a distinct computing paradigm.
Fields of Study & Subjects
Computer Science and Engineering
Cryptography and Residue Arithmetic
Cognitive Computing and Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 February 2026
- Document type
- Preprint