Towards a Digital Twin of Noisy Quantum Computers: Calibration-Driven Emulation of Transmon Qubits
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915472026370048 |
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| author | Müller, Ronny Zanner, Maximilian Schielein, Mika Rüfenacht, Martin Rabanus, David Schätzle, Eduardo Michielsen, Kristel Karnad, Ashwin Kumar Willsch, Dennis Jennings, Elise Gustiani, Cica |
| author_facet | Müller, Ronny Zanner, Maximilian Schielein, Mika Rüfenacht, Martin Rabanus, David Schätzle, Eduardo Michielsen, Kristel Karnad, Ashwin Kumar Willsch, Dennis Jennings, Elise Gustiani, Cica |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_08313 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards a Digital Twin of Noisy Quantum Computers: Calibration-Driven Emulation of Transmon Qubits Müller, Ronny Zanner, Maximilian Schielein, Mika Rüfenacht, Martin Rabanus, David Schätzle, Eduardo Michielsen, Kristel Karnad, Ashwin Kumar Willsch, Dennis Jennings, Elise Gustiani, Cica Quantum Physics 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. |
| title | Towards a Digital Twin of Noisy Quantum Computers: Calibration-Driven Emulation of Transmon Qubits |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2504.08313 |