analiza aiqbench

This research establishes a rigorous mathematical bridge between classical Cramér-Rao bounds and quantum Helstrom bounds for high-dimensional semiparametric models. By unifying these efficiency limits through abstract geometric concepts, the framework provides essential tools for analyzing fundamental inference constraints in complex systems like Gaussian fields without relying on restrictive finite-dimensional assumptions. This advancement directly impacts the theoretical foundations of signal processing, medical imaging, and next-generation quantum sensing protocols where minimal model assumptions are critical.