Mitigating cosmic ray-like correlated events with a modular quantum processor
Xuntao Wu, Yash J. Joshi, Haoxiong Yan, Gustav Andersson, Alexander Anferov, Christopher R. Conner, Bayan Karimi, Amber M. King, Shiheng Li, Howard L. Malc, Jacob M. Miller, Harsh Mishra, Hong Qiao, Minseok Ryu, Siyuan Xing, Jian Shi, Andrew N. Cleland

TL;DR
This study investigates how modular quantum processor architectures can reduce correlated errors caused by cosmic ray impacts, showing that physical separation between modules significantly decreases correlated decay events.
Contribution
The paper demonstrates that modular quantum computing architectures can effectively mitigate cosmic ray-like correlated errors, providing a new approach to enhance quantum processor reliability.
Findings
Strong correlation (>85%) within single modules
Low correlation (~2%) between separate modules
Modular design reduces chip-scale correlated errors
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…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Dark Matter and Cosmic Phenomena · Atomic and Subatomic Physics Research
