Print ISSN:1674-1056  |  Online ISSN:2058-3834  |  CN:11-5639/O4
  • Cite this article:

    Jianwen Xu, Ruonan Guo, Wen Zheng, Yu Zhang, Jie Zhao, Zhiguo Huang, Jingwei Wen, Runqing Zhang, Shaoxiong Li, Xinsheng Tan, Yang Yu. Efficient characterization of the coupler spectrum via sideband driving in superconducting qubitsJ. Chin. Phys. B, 2025, 34(11): 110302.
    Jianwen Xu, Ruonan Guo, Wen Zheng, Yu Zhang, Jie Zhao, Zhiguo Huang, Jingwei Wen, Runqing Zhang, Shaoxiong Li, Xinsheng Tan, Yang Yu. Efficient characterization of the coupler spectrum via sideband driving in superconducting qubitsJ. Chin. Phys. B, 2025, 34(11): 110302.
  • Efficient characterization of the coupler spectrum via sideband driving in superconducting qubits

    • Fabrication-friendly superconducting qubits continue to be a leading candidate for scalable quantum computing. Recent developments in tunable couplers have significantly advanced the progress toward practical quantum processors. However, high-performance quantum control, particularly two-qubit gates, depends on the delicate tuning of the coupler spectrum, as misalignment can lead to undesirable phenomena such as frequency crowding, which may cause errors including state leakage. Here, we propose an efficient method for characterizing the coupler spectrum through sideband drivings, obviating the need for additional components in current quantum processors. We demonstrate this technique experimentally by employing both continuous-wave and pulsed measurement protocols, successfully extracting the coupler spectrum. Furthermore, by utilizing the measured coupler spectrum, we calibrate the frequency dependence of the effective coupling strength between two qubits linked by the coupler. The proposed approach offers significant practical benefits, enabling the efficient characterization of the coupler spectrum in existing quantum architectures, thus paving the way for enhanced quantum control and scalability.
    • Article Text

    • loading

    Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return