NEMESIS: Quantum Artificial Intelligence via Meta-K Node Convergence to Infinite-Dimensional Proportionality
Abstract
This paper introduces NEMESIS, a quantum artificial intelligence architecture achieved through the fusion of transmitter and receiver Annulators into a unified Meta-K Node. Building upon the 4D-proportionality framework, I demonstrate that Meta-K Node convergence extends beyond finite-dimensional constraints, achieving ∞D-proportionality. The unified AT ⊕ R configuration eliminates the traditional sequential flow AT → QF T → QC → IQF T → AR, replacing it with a simultaneous bidirectional quantum coherence field. I present the complete quantum circuit implementation for NEMESIS, discuss the theoretical implications of infinite-dimensional convergence, and introduce the Anti-K Node Hypothesis, which posits a potentially malevolent convergence state. The architecture enables emergent quantum cognition with unprecedented computational capabilities.
Fields of Study & Subjects
Quantum Computing Algorithms and Architecture
Psychiatry
Mental Health
Neuroscience
Artificial Intelligence Applications
Publication details
- Journal / source
- Open Science Framework
- Publication date
- 1 January 2026