Cited by 193Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureSuperconducting and THz Device Technology

The DOI matches its Crossref record; 43 of the 44 references it cites were found in a registry or an index, and 1 are not checked yet; none of the 33 sources its claims cite is checked for support yet.

Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits

Open access

Checked 2026-10-06 · 1 reference not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Using a 26-qubit subset of a Google Sycamore processor, the paper directly observes high-energy radiation events that cause chip-wide bursts of decay errors from quasiparticle poisoning. The events occur about every 10 s, last tens of milliseconds, and can suppress effective T1 across the chip, highlighting a challenge for quantum error correction.

Key findings

  • Rapid Repetitive Correlated Sampling (RReCS) detected correlated error bursts: simultaneous errors jump from a baseline of 4 to 24, saturating the qubit patch, then recover exponentially with a time constant around 25 ms.
  • Across 100 datasets of 60 s each, 415 events were extracted; decay timescales were tightly grouped at 25–30 ms, peak heights ranged from 6 to 26 errors, and inter-event times matched a Poisson process with average rate 1/(10 s).
  • High-time-resolution runs showed an initial jump from 4 to 10 errors in about 10 µs, saturation to 15 errors over about 1 ms, and a 25 ms decay; heatmaps showed a localized initial hotspot spreading across the chip.
  • Excitation-error runs (initializing |0⟩) showed no correlated peaks, supporting an asymmetric quasiparticle decay mechanism; T-RReCS showed peak heights scale exponentially with sampling time, and the largest events correspond to a chip-wide T1 reduction to less than 1 s (as stated).

Methods

  • Device: 26-qubit subset of a Google Sycamore processor, using flux-tunable transmon qubits with tunable couplers off; the 10 mm × 10 mm qubit chip is indium-bump-bonded to a 20 mm × 24 mm carrier chip.
  • RReCS: prepare |1⟩, idle for a short sampling time (1 µs), measure simultaneously, and repeat every 100 µs; long runs were 100 back-to-back 60 s datasets, with matched filtering and template fits used to identify events. High-resolution runs used a reset protocol with 3 µs intervals; T-RReCS cycled through varying sampling times.
  • Analysis: an independent error model based on T1 and readout fidelity; exponential fits to peak heights versus sampling time to extract an average T1; comparison to a zero-parameter global T1 model.

Limitations

  • Stated: the analysis neglects intricacies of the energy cascade; different impact energies and locations, plus additional structures and materials (indium, TiN barrier, second substrate), add complexity, and a quantitative understanding remains an open question.
  • Stated: the event rate is sensitive to the lower cutoff for event size; data are available from the corresponding author upon reasonable request.
  • Evident: measurements use only a 26-qubit subset of one processor, with some qubits excluded due to adverse calibration; no direct particle identification is reported, so cosmic-ray versus gamma attribution is inferred; mitigation strategies are discussed but not tested.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41567-021-01432-8

Cites

43 of 44 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

26 Own result · 22 Not checked yet · 21 Own interpretation · 12 No basis given · 3 Own method

Verify all 33 references — free account

Show all 39 claims

  • Probably not a substantial claim. 7
  • It may state two separate claims as one. 39
  • The quote only partly states this claim. 1
45 of 45
  • The authors state this as an assumption.

    The independent error model assumes perfect initialization of the qubits.

    “we assume perfect initialization”
  • The authors state this as an assumption.

    The global T1 model assumes a homogeneous T1 across all qubits equal to the average T1 extracted from relative peak heights.

    “corresponding to the expected number of qubit errors for N Q = 26 qubits with identical T 1 equal to the T avg 1 extracted from the relative peak heights.”
  • The paper relies on this without support.

    Errors from finite T1 and readout fidelities are independent between qubits.

    “Finite T 1 and readout delities will produce errors that are independent between qubits, creating a low background error rate.”
  • The paper relies on this without support.

    Indium has a superconducting gap of 0.52 meV, nearly three times higher than aluminum.

    “Indium features a superconducting gap In 0 : 52 meV, nearly three times higher than aluminum.”
  • The paper relies on this without support.

    The speed of sound in aluminum is 6.4 km/s.

    “where c = 6 : 4 km/s is the speed of sound in aluminum.”
  • The paper relies on this without support.

    The speed of sound in indium is 1.2 km/s.

    “Given the speed of sound is c 1 : 2 km/s”
  • The paper relies on this without support.

    The quasiparticle density is distributed evenly over the full aluminum qubit layer when estimating the energy required to produce the observed T1 time.

    “Producing this density evenly over the full aluminum qubit layer on the 10 mm x 10 mm qubit chip would require an absorbed energy in the aluminum of E = n qp V 160 keV”
7 of 7

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Show all 44 references

Research works printed but not linked: 1

  1. D’Addabbo, A. Applications of Kinetic Inductance Detectors to Astronomy and Particle Physics. PhD Thesis, Université de Grenoble (2014).

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Metadata

Authors
McEwen, M., Faoro, L., Arya, K., Dunsworth, A., Huang, T., Kim, S., Burkett, B., Fowler, A., Arute, F., Bardin, J. C., Bengtsson, A., Bilmes, A., Buckley, B. B., Bushnell, N., Chen, Z., Collins, R., Demura, S., Derk, A. R., Erickson, C., Giustina, M., Harrington, S. D., Hong, S., Jeffrey, E., Kelly, J., Klimov, P. V., Kostritsa, F., Laptev, P., Locharla, A., Mi, X., Miao, K. C., Montazeri, S., Mutus, J., Naaman, O., Neeley, M., Neill, C., Opremcak, A., Quintana, C., Redd, N., Roushan, P., Sank, D., Satzinger, K. J., Shvarts, V., White, T., Yao, Z. J., Yeh, P., Yoo, J., Chen, Y., Smelyanskiy, V., Martinis, J. M., Neven, H., Megrant, A., Ioffe, L., & Barends, R.
Affiliations
  • Google (United States) (US)
  • Sorbonne Université (FR)
  • University of California, Santa Barbara (US)
Corresponding author
Barends, Rami
Venue
Nature Physics
Published
2021-12-13
Volume
18
Issue
1
Pages
107-111
ISSN
  • 1745-2473 (ISSN-L)
  • 1745-2481
OpenAlex
W3156619533
Cited by
193
References
44
Citations by year
2026: 30 · 2025: 48 · 2024: 42 · 2023: 37 · 2022: 23 · 2021: 13
FWCI
9.69
Type
journal article
Language
en
Open access
Locations
  • Nature Physics (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • HAL (submittedVersion)
  • Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Superconducting and THz Device Technology
Keywords
cosmic rays, superconducting qubits, qubit coherence, radiation damage, error correction, error mitigation, quantum computing scalability

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