Mechanistic comparison of different solutions found in closed-loop quantum control simulations

Abstract

We investigate how variable number affects mechanistic complexity in solutions found using closed-loop learning control. We find that we can facilitate our mechanistic understanding by initially using fewer variables for the optimization.