Pattern-based quantum functional testing
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914817823997952 |
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| author | Weiss, Erik Cech, Marcel Soltan, Stanislaw Koppenhöfer, Martin Krebsbach, Michael Wellens, Thomas Braun, Daniel |
| author_facet | Weiss, Erik Cech, Marcel Soltan, Stanislaw Koppenhöfer, Martin Krebsbach, Michael Wellens, Thomas Braun, Daniel |
| contents | With the growing number of qubits of quantum information processing devices, the task of fully characterizing these processors becomes increasingly unfeasible. From a practical perspective, one wants to find possible errors in the functioning of the device as quickly as possible, or otherwise establish its correct functioning with high confidence. In response to these challenges, we propose a pattern-based approach inspired by classical memory testing algorithms to evaluate the functionality of a quantum memory, based on plausible failure mechanisms. We demonstrate the method's capability to extract pattern dependencies of important qubit characteristics, such as $T_1$ and $T_2$ times, and to identify and analyze interactions between adjacent qubits. Additionally, our approach enables the detection of different types of crosstalk effects and of signatures indicating non-Markovian dynamics in individual qubits. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_20828 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Pattern-based quantum functional testing Weiss, Erik Cech, Marcel Soltan, Stanislaw Koppenhöfer, Martin Krebsbach, Michael Wellens, Thomas Braun, Daniel Quantum Physics Superconductivity With the growing number of qubits of quantum information processing devices, the task of fully characterizing these processors becomes increasingly unfeasible. From a practical perspective, one wants to find possible errors in the functioning of the device as quickly as possible, or otherwise establish its correct functioning with high confidence. In response to these challenges, we propose a pattern-based approach inspired by classical memory testing algorithms to evaluate the functionality of a quantum memory, based on plausible failure mechanisms. We demonstrate the method's capability to extract pattern dependencies of important qubit characteristics, such as $T_1$ and $T_2$ times, and to identify and analyze interactions between adjacent qubits. Additionally, our approach enables the detection of different types of crosstalk effects and of signatures indicating non-Markovian dynamics in individual qubits. |
| title | Pattern-based quantum functional testing |
| topic | Quantum Physics Superconductivity |
| url | https://arxiv.org/abs/2405.20828 |