  Error mitigation has been one of the recently sought after methods to reduce
the effects of noise when computation is performed on a noisy near-term quantum
computer. Interest in simulating stochastic processes with quantum models
gained popularity after being proven to require less memory than their
classical counterparts. With previous work on quantum models focusing primarily
on further compressing memory, this work branches out into the experimental
scene; we aim to bridge the gap between theoretical quantum models and
practical use with the inclusion of error mitigation methods. It is observed
that error mitigation is successful in improving the resultant expectation
values. While our results indicate that error mitigation work, we show that its
methodology is ultimately constrained by hardware limitations in these quantum
computers.
