@techreport{oai:ipsj.ixsq.nii.ac.jp:00240368,
 author = {Kento, Ueda and Naoki, Kanazawa and Kento, Ueda and Naoki, Kanazawa},
 issue = {3},
 month = {Oct},
 note = {Quantum computing calibration is an essential process to maintain the accuracy of quantum gate operations. However, manual adjustments can be time-consuming and labor-intensive. This study proposes a calibration simulation workflow using Qiskit-Experiments and Qiskit-Dynamics, which enables error diagnosis through machine learning (ML) models. The work-flow generates datasets that include scenarios of both calibration successes and failures under various physical conditions. As a result, the trained models demonstrated high accuracy in identifying the causes of calibration errors. Additionally, we found that these models exhibited generalizability to different physical conditions, such as qubits with varying Hamiltonian parameters. This study contributes to the automation of quantum computer calibration and the efficiency of error diagnosis. The proposed workflow is expected to serve as a foundation for maintaining large-scale quantum computers in the future., Quantum computing calibration is an essential process to maintain the accuracy of quantum gate operations. However, manual adjustments can be time-consuming and labor-intensive. This study proposes a calibration simulation workflow using Qiskit-Experiments and Qiskit-Dynamics, which enables error diagnosis through machine learning (ML) models. The work-flow generates datasets that include scenarios of both calibration successes and failures under various physical conditions. As a result, the trained models demonstrated high accuracy in identifying the causes of calibration errors. Additionally, we found that these models exhibited generalizability to different physical conditions, such as qubits with varying Hamiltonian parameters. This study contributes to the automation of quantum computer calibration and the efficiency of error diagnosis. The proposed workflow is expected to serve as a foundation for maintaining large-scale quantum computers in the future.},
 title = {A calibration simulation-based workflow using Qiskit},
 year = {2024}
}