Quantum mathematics is no longer confined to physics laboratories. Across Earth and space sciences, researchers are finding that quantum computational architectures, quantum probability formalisms, and quantum-inspired mathematical frameworks offer powerful new tools for problems that classical approaches handle poorly: high-dimensional state spaces, non-commutative variable relationships, entanglement-like correlations across coupled systems, and decision-making under deep uncertainty.

This session brings together three converging research frontiers. First, quantum computing applications to Earth system simulation: where are quantum algorithms beginning to outperform or complement classical numerical methods (e.g., climate sciences)? Second, quantum probability and information-theoretic methods applied to geophysical and socioeconomic data: Bell inequality violations, quantum cognition frameworks, and non-classical correlation structures in observational records. Third, quantum-inspired decision architectures in resource-use and human-environment systems: how can superposition, interference, and entanglement metaphors illuminate behavior in systems under environmental stress? Abstracts are welcome from quantum computing, Earth system modeling, complexity science, decision theory, and applied mathematics.

• A - Atmospheric Sciences
• GC - Global Environmental Change
• NG - Nonlinear Geophysics
• SY - Science and Society