NEMESIS: Quantum Artificial Intelligence via Meta-K Node Convergence to Infinite-Dimensional Proportionality

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Authors: Kaoru Aguilera Katayama
Cited by: 0

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