02 / Exploratory research

AI for Quantum–Relativity Unification

Exploring how artificial intelligence and computational methods may assist the search for deeper connections between quantum theory and relativity.

Conceptual illustration
The question

Can AI help us ask better questions about the foundations of our universe?

Can modern artificial intelligence, computational modelling and mathematical exploration help identify structures or relationships that contribute to our understanding of the connection between quantum theory and relativistic spacetime?

This is an exploratory question, not a claimed solution. The project does not claim a unified theory or experimental validation.

Areas of inquiry

Interconnected themes. One research project.

These themes provide different perspectives on a shared question. Their connections guide our inquiry; they are not separate research projects.

One question.
Connected perspectives.
  • Quantum states
  • Quantum entanglement
  • Relativity
  • Spacetime
  • Information
  • Entropy
  • Mathematical structures
  • AI-assisted scientific discovery
  • Computational modelling
  • Simulation
The role of AI

A tool for exploration.

AI may support parts of the research process. Its suggestions require mathematical scrutiny, reproducible checks and independent evaluation; an appealing pattern is not evidence of a physical theory.

Mathematical Pattern Discovery

Explore possible relationships within mathematical representations.

Hypothesis Exploration

Assist in examining spaces of possible relationships and identifying questions for closer investigation.

Simulation

Support computational experiments and model comparison, subject to the assumptions of each model.

Literature and Knowledge Synthesis

Help connect concepts across traditionally separated areas, with claims checked against original sources.

Symbolic and Numerical Reasoning

Investigate combinations of symbolic mathematics and computational approaches.

Current status

Exploratory Research

The project is currently investigating foundational assumptions, mathematical representations and computational approaches. Research notes, experiments and results will be shared through Crotone Academia as the work develops.