Mitigating cosmic-ray-like correlated events with a modular quantum processor

Quantum processors based on superconducting qubits are being scaled to larger qubit numbers, enabling the implementation of small-scale quantum error-correction codes. However, catastrophic chip-scale correlated errors have been observed in these processors, attributed to, e.g., cosmic ray impacts, which challenge conventional error-correction codes such as the surface code. These events are characterized by a temporary but pronounced suppression of the qubit-energy relaxation times. Here, we explore the potential for modular quantum computing architectures to mitigate such correlated energy decay events. We measure cosmic-ray-like events in a quantum processor comprising a motherboard and two flip-chip bonded daughterboard modules, each module containing two superconducting qubits. We monitor the appearance of correlated qubit decay events within a single module and across the physically separated modules. We find that while decay events within one module are strongly correlated (over $85\mathrm{%}$), events in separate modules only display approximately $2\mathrm{%}$ correlations. We also report coincident decay events in the motherboard and in either of the two daughterboard modules, providing further insight into the nature of these decay events. These results suggest that modular architectures, combined with bespoke error-correction codes, offer a promising approach for protecting future quantum processors from chip-scale correlated errors.

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Publication Details

Journal
Physical Review Applied
Published
2025-10-08
DOI
https://doi.org/10.1103/4ctq-r6w6
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48

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Mitigating cosmic-ray-like correlated events with a modular quantum processor

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Mitigating cosmic-ray-like correlated events with a modular quantum processor

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article en
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Abstract

Quantum processors based on superconducting qubits are being scaled to larger qubit numbers, enabling the implementation of small-scale quantum error-correction codes. However, catastrophic chip-scale correlated errors have been observed in these processors, attributed to, e.g., cosmic ray impacts, which challenge conventional error-correction codes such as the surface code. These events are characterized by a temporary but pronounced suppression of the qubit-energy relaxation times. Here, we explore the potential for modular quantum computing architectures to mitigate such correlated energy decay events. We measure cosmic-ray-like events in a quantum processor comprising a motherboard and two flip-chip bonded daughterboard modules, each module containing two superconducting qubits. We monitor the appearance of correlated qubit decay events within a single module and across the physically separated modules. We find that while decay events within one module are strongly correlated (over $85\mathrm{%}$), events in separate modules only display approximately $2\mathrm{%}$ correlations. We also report coincident decay events in the motherboard and in either of the two daughterboard modules, providing further insight into the nature of these decay events. These results suggest that modular architectures, combined with bespoke error-correction codes, offer a promising approach for protecting future quantum processors from chip-scale correlated errors.

Physical Review AppliedVol. 24(4)
Argonne National Laboratory (US), Rensselaer Polytechnic Institute (US), University of Chicago (US)
National Science Foundation, U.S. Department of Defense, U.S. Department of Energy, University of Chicago, Defense Advanced Research Projects Agency, Office of Science, Materials Research Science and Engineering Center, Harvard University, Multidisciplinary University Research Initiative, Office of Naval Research, Division of Materials Research, Division of Electrical, Communications and Cyber Systems, Air Force Office of Scientific Research, Army Research Office
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
2.48
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