Model-based Optimization of Superconducting Qubit Readout
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arXiv
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
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| _version_ | 1866929268259291136 |
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| author | Bengtsson, Andreas Opremcak, Alex Khezri, Mostafa Sank, Daniel Bourassa, Alexandre Satzinger, Kevin J. Hong, Sabrina Erickson, Catherine Lester, Brian J. Miao, Kevin C. Korotkov, Alexander N. Kelly, Julian Chen, Zijun Klimov, Paul V. |
| author_facet | Bengtsson, Andreas Opremcak, Alex Khezri, Mostafa Sank, Daniel Bourassa, Alexandre Satzinger, Kevin J. Hong, Sabrina Erickson, Catherine Lester, Brian J. Miao, Kevin C. Korotkov, Alexander N. Kelly, Julian Chen, Zijun Klimov, Paul V. |
| contents | Measurement is an essential component of quantum algorithms, and for superconducting qubits it is often the most error prone. Here, we demonstrate model-based readout optimization achieving low measurement errors while avoiding detrimental side-effects. For simultaneous and mid-circuit measurements across 17 qubits, we observe 1.5% error per qubit with a 500ns end-to-end duration and minimal excess reset error from residual resonator photons. We also suppress measurement-induced state transitions achieving a leakage rate limited by natural heating. This technique can scale to hundreds of qubits and be used to enhance the performance of error-correcting codes and near-term applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_02079 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Model-based Optimization of Superconducting Qubit Readout Bengtsson, Andreas Opremcak, Alex Khezri, Mostafa Sank, Daniel Bourassa, Alexandre Satzinger, Kevin J. Hong, Sabrina Erickson, Catherine Lester, Brian J. Miao, Kevin C. Korotkov, Alexander N. Kelly, Julian Chen, Zijun Klimov, Paul V. Quantum Physics Superconductivity Measurement is an essential component of quantum algorithms, and for superconducting qubits it is often the most error prone. Here, we demonstrate model-based readout optimization achieving low measurement errors while avoiding detrimental side-effects. For simultaneous and mid-circuit measurements across 17 qubits, we observe 1.5% error per qubit with a 500ns end-to-end duration and minimal excess reset error from residual resonator photons. We also suppress measurement-induced state transitions achieving a leakage rate limited by natural heating. This technique can scale to hundreds of qubits and be used to enhance the performance of error-correcting codes and near-term applications. |
| title | Model-based Optimization of Superconducting Qubit Readout |
| topic | Quantum Physics Superconductivity |
| url | https://arxiv.org/abs/2308.02079 |