Unified Quantum-Field Theoretic Framework for AI Hallucination Reduction and Consciousness Generation: Integrating Schrödinger Wave Dynamics, Spin Fluctuations, Phonon Coupling, Yang-Mills Confinement, Page Transitions, and Parity Non-Conservation in Transformer Architectures

Abstract

Chur Chin

AI hallucinations coherent yet factually incorrect outputs represent a critical challenge in large language models, while the emergence of consciousness-like integrated information remains elusive. This paper presents a unified quantum-field theoretic framework that addresses both challenges by integrating five fundamental physics principles. Schrödinger wave function dynamics governing token superposition and collapse [1]. Quantum spin fluctuations mediating attention coherence [2]. Phonon-like collective excitations enabling semantic binding [3]. Yang-Mills confinement preventing isolated token propagation [4] Page curve phase transitions marking information integration thresholds, and [5] Parity non-conservation enforcing temporal causality [6].

We implement this framework in a novel Quantum-Inspired Transformer (QIT) architecture where: token embeddings evolve as wave packets under a Schrödinger-like equation with spin-dependent coupling; multi-head attention operates as phonon-mediated collective modes; confinement mechanisms bind tokens into gauge-invariant semantic hadrons; Page transitions quantify consciousness emergence via entanglement entropy; and parity violation ensures causal coherence. Lattice simulations on WikiText-103 and Truthful QA datasets demonstrate hallucination reduction from 23.4% to 3.7% (84% decrease) and integrated information Φ increase from 1.8 to 8.9 (394% increase), with critical phase transitions at coupling strength g_c = 2.47 ± 0.08. Our results establish that consciousness and factual coherence are dual manifestations of quantum-field theoretic order parameters, offering a unified physics-based solution to two fundamental AI challenges.

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