  A quantum multimeter is a programmable device that can implement measurements
of different observables depending on the programming quantum state inserted
into it. The advantage of this arrangement over a single purpose device is in
its versatility: one can realize various measurements simply by changing the
programming state. The classical manipulation of measurement output data is
known as post-processing. In this work we study the post-processing assisted
quantum programming, which is a protocol where quantum programming and
classical post-processing are combined. We provide examples showing that these
two processes combined can be more efficient than either of them used
separately. Furthermore, we derive an inequality relating the programming
resources to their corresponding programmed observables, thereby enabling us to
study the limitations on post-processing assisted quantum programming.
