  Many quantum technologies rely on high-precision dynamics, which raises the
question of how these are influenced by the experimental uncertainties that are
always present in real-life settings. A standard approach in the literature to
assess this is Monte Carlo sampling, which suffers from two major drawbacks.
First, it is computationally expensive. Second, it does not reveal the effect
that each individual uncertainty parameter has on the state of the system. In
this work, we evade both these drawbacks by incorporating propagation of
uncertainty directly into simulations of quantum dynamics, thereby obtaining a
method that is faster than Monte Carlo simulations and directly provides
information on how each uncertainty parameter influence the system dynamics.
Additionally, we compare our method to experimental results obtained using the
IBM quantum computers.
