Soohyun Park

Reaching high-frequency Fourier modes in quantum neural networks does not require deeper data re-uploading, but rather an exact algebraic placement of entangling gates that forces quantum states and observables to intersect on frequency-invariant operator planes.

In imitation learning and adaptive Cartesian tracking (IL-ACT), a novel motion control framework for a 30-ton-class excavator, is proposed, with bounded adaptive states and Cartesian feedback, with reference admissibility conditional on governor feasibility.