SOLUCIENCE is a hyper-complexity problem analysis framework created using nonlinear dynamic algorithms and Dynamic Equilibrium Operation DEO MATH, a mathematical theory developed by WiseWireT, which develops AI and quantum computing algorithms.
RESEARCH
GQQ is a regime-aware cost-efficiency framework.
It measures input difficulty as pins, then uses a gate to dynamically choose precision, representation (PBT), and backend (QPU/CPU/GPU or approximate paths) so that accuracy is preserved while cost, power, and latency are minimized.
The name Green signals a commitment to prioritizing measurable efficiency KPIs such as energy per request and latency.
They focus on theoretical or applied research in fields such as AI, quantum computing, or complex systems
Quantum researchers in the areas of NISQ/hybrid/compile/scheduling/calibration
They develop or deploy machine learning models and seek advanced tools for optimization and problem-solving.
