Quantum AI-Powered Language Model to Predict Future Using Astrology, Astronomy and Behavioural Science of Humans

Abstract

The present project advances a language model powered by Quantum AI to predict the future utilizing symbolic, empirical and behavioral data from astrology, astronomy and behavioral science. The study aims to address the deterministic limitations of classical AI using quantum superposition and entanglement by leveraging it for multidimensional predictions.
Astrological archetypes, astronomical ephemerides and behavioral data were encoded in a hybrid quantum transformer configuration. We used quantum attention mechanisms and probabilistic optimization to correlate the symbolic and empirical features.
Comparisons were made between uncertainty handling, interpretability, and cross-domain synthesis along with classical baselines. It indicates that the quantum model has improved capabilities in uncertainty management and heterogeneous data integration. Societal forecasting, decision-making, and market behavior case studies demonstrate greater adaptability and probabilistic insight. That said, interpretability and ethical transparency are key aspects for future refinement. It positions prediction in a paradigm of probabilistic synthesis rather than deterministic forecasting, to cross between scientific accuracy and symbolic significance.
The study establishes quantum AI as a transformative framework for understanding uncertainty, mapping future possibilities by uniting the cosmic, cognitive, and computational dimensions. This interdisciplinary approach expands on both theoretical and applied approaches that would be used to build a robust foundation of responsible, culturally attuned predictive intelligence.