Exploiting overcompleteness of Platonic-solid POVMs for shadow estimation
Accurately estimating expectation values of observables from a finite number of measurement shots is a central challenge in quantum information science. Informationally overcomplete measurements provide a route to reduce estimation variance through optimized classical post-processing. However, the interplay between mea...