  As all physical adaptive quantum-enhanced metrology schemes operate under
noisy conditions with only partially understood noise characteristics, so a
practical control policy must be robust even for unknown noise. We aim to
devise a test to evaluate the robustness of AQEM policies and assess the
resource used by the policies. The robustness test is performed on QEAPE by
simulating the scheme under four phase-noise models corresponding to
normal-distribution noise, random-telegraph noise, skew-normal-distribution
noise, and log-normal-distribution noise. Control policies are devised either
by an evolutionary algorithm under the same noisy conditions, albeit ignorant
of its properties, or a Bayesian-based feedback method that assumes no noise.
Our robustness test and resource comparison method can be used to determining
the efficacy and selecting a suitable policy.
