Kavli Affiliate: Elise Jennings
| First 5 Authors: Ronny Müller, Maximilian Zanner, Mika Schielein, Martin Rüfenacht, Elise Jennings
| Summary:
We develop a parametric error model to construct a digital twin of a
superconducting transmon qubit device. The model parameters are extracted from
hardware calibration data and supplementary benchmarking circuits, providing a
dynamic, system-specific representation of noise and gate imperfections. Given
the strong dependence of qubit performance on calibration procedures, our
approach captures real-time device fluctuations. By incorporating predominant
noise sources derived from underlying physical processes, we enhance the
emulation’s accuracy while reducing the data required for model fitting.
Finally, we validate our model by comparing its predictions with experimental
results from a 5-qubit QPU, achieving a mean total variation distance of 0.15
between the shot distributions. This digital twin can be leveraged for
predictive performance analysis, error mitigation strategies, and the
optimization of quantum protocols, contributing to more reliable quantum
computations.
| Search Query: ArXiv Query: search_query=au:”Elise Jennings”&id_list=&start=0&max_results=3