  The accurate and reliable characterization of quantum dynamical processes
underlies efforts to validate quantum technologies, where discrimination
between competing models of observed behaviors inform efforts to fabricate and
operate qubit devices. We present a novel protocol for quantum channel
discrimination that leverages advances in direct characterization of quantum
dynamics (DCQD) codes. We demonstrate that DCQD codes enable selective process
tomography to improve discrimination between entangling and correlated quantum
dynamics. Numerical simulations show selective process tomography requires only
a few measurement configurations to achieve a low false alarm rate and that the
DCQD encoding improves the resilience of the protocol to hidden sources of
noise. Our results show that selective process tomography with DCQD codes is
useful for efficiently distinguishing sources of correlated crosstalk from
uncorrelated noise in current and future experimental platforms.
