  Many quantum algorithms demand a large number of repetitions to obtain
reliable statistical results. Thus, at each repetition it is necessary to reset
the qubits efficiently and precisely in the shortest possible time, so that
quantum computers actually have advantages over classical ones. In this work,
we perform a detailed analysis on three different models for information
resetting in superconducting qubits. Our experimental setup consists of a main
qubit coupled to different auxiliary dissipative systems, that are employed in
order to perform the erasing of the information of the main qubit. Our analysis
shows that it is not enough to increase the coupling and the dissipation rate
associated with the auxiliary systems to decrease the resetting time of the
main qubit, a fact that motivates us to find the optimal set of parameters for
each studied approach, allowing a significant decrease in the reset time of the
three models analyzed.
