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B50: Characterizing Noise with QCVV Techniques

Mon. March 4, 11:30 a.m. – 2:30 p.m. CST

200H

Sponsoring Units: DQIChair: Piper Wysocki, Sandia National LaboratoriesSession Tags:
  • Focus

Mon. March 4, 11:30 a.m. – 11:42 a.m. CST

200H

With recent progress in materials and qubit design, the coherence times of superconducting qubits have been improved to 0.1 - 1 ms [1,2]. Since the gate fidelity of superconducting qubits is typically limited by decoherence, these advancements have resulted in single-qubit error rates below 10-4 and two-qubit gates below 10-3 [2-5]. With further improvements in coherence times, the fidelity of qubit operations could enter a regime no longer limited by qubit coherence and the dominant operational errors may be non-Markovian. To anticipate this progress, we introduce a novel characterization scheme based on partial tomography that can reconstruct error channels without assuming Markovian noise. We leverage this method to measure quasi-static noise, crosstalk and context-dependent coherent errors, which are considered to be among the most common non-Markovian errors in superconducting qubits [6,7]. With numerical simulations and experiments we show how this novel protocol can help to understand and mitigate correlated errors in superconducting qubits.

 

[1] A.P.M. Place et al., Nat. Commun 12., 1779 (2021).

[2] A. Somoroff et al., Phys. Rev. Lett. 130, 267001 (2023).

[3] Z. Li et al., arXiv 2302.08690 (2023).

[4] L. Ding et al., arXiv 2304.06087 (2023).

[5] H. Zhang et al., arXiv 2309.05720 (2023).

[6] D.M. Debroy et al., arXiv 2303.17565 (2023).

[7] M. Papič et al., arXiv 2305.08916 (2023).

Presented By

  • Martijn F Zwanenburg (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)

Authors

  • Martijn F Zwanenburg (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
  • Taryn V Stefanski (Quantum Engineering Centre for Doctorial Training, University of Bristol and QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
  • Figen Yilmaz (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
  • Siddharth Singh (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
  • Eugene Y Huang (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
  • Lukas Johannes Splitthoff (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
  • Christian Kraglund Andersen (QuTech and Kavli Institute of Nanoscience, Delft University of Technology)