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QubitHammer: Remotely Inducing Qubit State Change on Superconducting Quantum Computers

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arxiv 2504.07875 v2 pith:YXC22MRA submitted 2025-04-10 quant-ph cs.CR

classification quant-phcs.CR
keywords quantumqubithammersuperconductingmodelmulti-tenantqubitaddressadversary
verification ladder T0 review T1 audit T2 compute T3 formal
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To address the rapidly growing demand for cloud-based quantum computing, various researchers are proposing shifting from the existing single-tenant model to a multi-tenant model that expands resource utilization and improves accessibility. However, while multi-tenancy enables multiple users to access the same quantum computer, it introduces potential for security and reliability vulnerabilities. It therefore becomes important to investigate these vulnerabilities, especially considering realistic attackers who operate without elevated privileges relative to ordinary users. To address this research need, this paper presents and evaluates QubitHammer, the first attack to demonstrate that an adversary can remotely induce unauthorized changes to a victim's quantum circuit's qubit's state within a multi-tenant model by using custom qubit control pulses that are generated within constraints of the public interfaces and without elevated privileges. Through extensive evaluation on real-world superconducting devices from IBM and Rigetti, this work demonstrates that QubitHammer allows an adversary to significantly change the output distribution of a victim quantum circuit. In the experimentation, variational distance is used to evaluate the magnitude of the changes, and variational distance as high as 0.938 is observed. Cross-platform analysis of QubitHammer on a number of quantum computing devices exposes a fundamental susceptibility in superconducting hardware. Further, QubitHammer was also found to evade all currently proposed defenses aimed at ensuring reliable execution in multi-tenant superconducting quantum systems.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Evaluation of Noise and Crosstalk in Neutral Atom Quantum Computers

    quant-ph 2025-07 conditional novelty 6.0 of 10

    Co-located simulations on a neutral atom machine interfere more when placed closer, and a moving target defense that relocates the victim restores fidelity to about 0.995 in simulator tests.

  2. Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses

    quant-ph 2025-06 conditional novelty 1.0 of 10

    A survey that categorizes known adversarial threats to quantum machine learning systems and reviews existing defenses, from logic locking to hardware-aware watermarking.

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