rqm-optimize compresses single-qubit gate runs into shorter SU(2)-equivalent forms, reducing unnecessary depth without changing the user workflow.

A theoretical framework for Scalable Geometric Optimization. It reformulates black-box optimization by separating domain and codomain, replacing objective function modeling with relative geometric reference systems. By using a base unit of distance, it navigates high-dimensional spaces via spatial relationships between sampled points