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Abstract: The influence of noise in quantum dynamics is one of the main factors preventing current quantum processors from performing quantum computations. Errors must be addressed, which requires a thorough understanding of the nature and interplay of different sources of noise. In this work, we propose an effective error model of single-qubit operations on the IBM Quantum Platform, that possesses considerable predictive power and takes into account spatio-temporally correlated noise. We showcase how Quantum Noise Spectroscopy (QNS) can be used alongside other error characterization techniques, such as $T_1$ and $T_2$ experiments, to obtain a more complete error model of the system. Both Markovian and non-Markovian environmental and control effects are accounted for, as well as qubit-qubit interactions via quantum crosstalk. Model parameters are obtained from a small set of noise amplification circuits used to characterized the devices. We show that simulations using this error model are capable of accurately predicting experimental results.

Hosted by Francisco Riberi, PhD Student & Professor Lorenza Viola

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