  Nonadiabatic holonomic quantum computation has been attracting continuous
attention since it was proposed. Until now, various schemes of nonadiabatic
holonomic quantum computation have been developed and many of them have been
experimentally demonstrated. It is known that at the end of a computation, one
usually needs to estimate the average value of an observable. However,
computation errors severely disturb the final state of a computation, causing
erroneous average value estimation. Thus for nonadiabatic holonomic quantum
computation, an important topic is to investigate how to better give the
average value of an observable under the condition of computation errors. While
the above topic is important, the previous works in the field of nonadiabatic
holonomic quantum computation pay woefully inadequate attention to it. In this
paper, we show that rescaling the measurement results can better give the
average value of an observable in nonadiabatic holonomic quantum computation
when computation errors are considered. Particularly, we show that by rescaling
the measurement results, $56.25\%$ of the computation errors can be reduced
when using depolarizing noise model, a widely adopted noise model in quantum
computation community, to analyse the benefit of our method.
