Integrating Leakage Reduction Units in Quantum Error Correction using the Surface Code

ORAL

Abstract

Despite recent experimental advance in quantum error correction, lower error rates are needed to outperform classical computers. A key challenge is mitigating leakage out of the computational subspace. In this talk, we present experimental progress towards integrating leakage reduction units based on parametric flux modulation [1] in quantum error correction experiments using a 17-qubit superconducting circuit. We evaluate the performance of these experiments in comparison to leakage rejection methods [2] in terms of leakage suppression, logical lifetime, scalability and dominant error mechanisms.

[1] Lacroix, N., et. al., arXiv:2309.07060 (2023)

[2] Krinner, S., Lacroix, N. et. al., Nature (2022)

*The authors acknowledge financial support by ODNI, IARPA, via the US ARO grant W911NF-16-1-0071, by SNFS NCCR QSIT, by the EU Flagship H2020-FETFLAG-2018-03 project 820363 OpenSuperQ, by the SNFS R'Equip grant 206021-170731, by the EU programme H2020-FETOPEN project 828826 Quromorphic, by ETH Zurich, and by Fondation Jean-Jacques & Felicia Lopez-Loreta.

Presenters

  • Luca Hofele

    • ETH Zurich

Authors

  • Luca Hofele

    • ETH Zurich
  • Nathan Lacroix

    • ETH Zurich
  • Jakob Ekert

    • ETH Zürich
  • Michael Kerschbaum

    • ETH Zurich
  • Ilya Besedin

    • ETH Zürich
  • Ants Remm

    • ETH Zurich
  • Colin Scarato

    • ETH Zuerich
  • Christoph Hellings

    • ETH Zurich
  • Dante Colao Zanuz

    • ETH Zurich
  • Mohsen Bahrami Panah

    • ETH Zurich
  • Andreas Wallraff

    • ETH Zurich