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Fast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits

Quantum Physics 2025-03-31 v1

Abstract

Quantum computers will require quantum error correction to reach the low error rates necessary for solving problems that surpass the capabilities of conventional computers. One of the dominant errors limiting the performance of quantum error correction codes across multiple technology platforms is leakage out of the computational subspace arising from the multi-level structure of qubit implementations. Here, we present a resource-efficient universal leakage reduction unit for superconducting qubits using parametric flux modulation. This operation removes leakage down to our measurement accuracy of 71047\cdot 10^{-4} in approximately 50ns50\, \mathrm{ns} with a low error of 2.5(1)1032.5(1)\cdot 10^{-3} on the computational subspace, thereby reaching durations and fidelities comparable to those of single-qubit gates. We demonstrate that using the leakage reduction unit in repeated weight-two stabilizer measurements reduces the total number of detected errors in a scalable fashion to close to what can be achieved using leakage-rejection methods which do not scale. Our approach does neither require additional control electronics nor on-chip components and is applicable to both auxiliary and data qubits. These benefits make our method particularly attractive for mitigating leakage in large-scale quantum error correction circuits, a crucial requirement for the practical implementation of fault-tolerant quantum computation.

Keywords

Cite

@article{arxiv.2309.07060,
  title  = {Fast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits},
  author = {Nathan Lacroix and Luca Hofele and Ants Remm and Othmane Benhayoune-Khadraoui and Alexander McDonald and Ross Shillito and Stefania Lazar and Christoph Hellings and Francois Swiadek and Dante Colao-Zanuz and Alexander Flasby and Mohsen Bahrami Panah and Michael Kerschbaum and Graham J. Norris and Alexandre Blais and Andreas Wallraff and Sebastian Krinner},
  journal= {arXiv preprint arXiv:2309.07060},
  year   = {2025}
}