Compare Papers

Paper 1

Transmon qubit readout fidelity at the threshold for quantum error correction without a quantum-limited amplifier

Chen L, Li H, Lu Y, Warren C, Križan C, Kosen S, Rommel M, Ahmed S, Osman A, Biznárová J, Roudsari AF, Lienhard B, Caputo M, Grigoras K, Grönberg L, Govenius J, Kockum A, Delsing P, Bylander J, Tancredi G.

Year
2022
Journal
Europe PMC
DOI
10.21203/rs.3.rs-1953331/v1
arXiv
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No abstract.

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Paper 2

Toward Secure Multitenant Quantum Computing: Circuit Affinity, Crosstalk Patterns, and Grouping Strategies

Andrew Woods, Chi-Ren Shyu

Year
2026
Journal
arXiv preprint
DOI
arXiv:2605.00118
arXiv
2605.00118

Multitenancy increases throughput and reduces costs in cloud-based quantum computing, but concurrent job execution introduces security risks through inter-circuit crosstalk. We characterize the structural predictability of these interference patterns across seven IBM superconducting processors, spanning Heron (r1-r3) and Nighthawk (r1) architectures and five different circuit types. We evaluate pairwise interactions, by applying the Structural Similarity Index (SSIM) and a structural $t$-statistic to the concurrent execution of five foundational quantum circuits (QAOA, Grover's, QPE, QFT, and ZZFeatureMap), we quantify behavioral consistency across disparate hardware. Our results identify three types of circuits: universally aggressive, universally sensitive, and cotenant-dependent circuits. Aggressive circuits, such as Grover's Algorithm, exhibit a statistically significant interference pattern, yielding a $t$-statistic range of $[1.37,2.61]$ relative to the standalone baselines across all tested pairings. Conversely, sensitive circuits, such as the Quantum Fourier Transform, demonstrate a disproportionate susceptibility to multitenant execution, showing high deviations from single-tenant computational behavior. We demonstrate that crosstalk signatures are highly consistent within architectural revisions--with intra-revision similarity reaching $0.77$ (Hr3) and $0.68$ (Hr2)--while inter-revision similarity drops to $0.43$. Furthermore, we identify a ``topological decoupling" between Heavy-Hex and square lattice systems, where structural similarity falls to $0.01$ between Heron r1 and Nighthawk r1. These findings provide an empirical foundation for hardware-aware schedulers to strategically pair jobs, maximizing system utilization while preserving computational integrity.

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