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Context Switching for Secure Multi-programming of Near-Term Quantum Computers

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arxiv 2504.07048 v3 pith:IG75T6RO submitted 2025-04-09 cs.CR cs.ET

classification cs.CRcs.ET
keywords zktasqontextscontextprogramcontextsmulti-programmingprogramsvictim
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Multi-programming quantum computers improve device utilization and throughput. However, crosstalk from concurrent two-qubit CNOT gates poses security risks, compromising the fidelity and output of co-running victim programs. We design Zero Knowledge Tampering Attacks (ZKTAs), using which attackers can exploit crosstalk without knowledge of the hardware error profile. ZKTAs can alter victim program outputs in 40% of cases on commercial systems. We identify that ZKTAs succeed because the attacker's program consistently runs with the same victim program in a fixed context. To mitigate this, we propose QONTEXTS: a context-switching technique that defends against ZKTAs by running programs across multiple contexts, each handling only a subset of trials. QONTEXTS uses multi-programming with frequent context switching while identifying a unique set of programs for each context. This helps limit only a fraction of execution to ZKTAs. We enhance QONTEXTS with attack detection capabilities that compare the distributions from different contexts against each other to identify noisy contexts executed with ZKTAs. Our evaluations on real IBMQ systems show that QONTEXTS increases program resilience by three orders of magnitude and fidelity by 1.33$\times$ on average. Moreover, QONTEXTS improves throughput by 2$\times$, advancing security in multi-programmed environments.

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Cited by 1 Pith paper

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

  1. On the Figures of Merit for Quantum Software Security: Toward a Benchmarking Rubric

    cs.CR 2026-08 conditional novelty 5.0 of 10

    The paper defines a structured set of Security Figures of Merit and a normalization and aggregation rubric that turns incomparable quantum software security metrics into a composite Quantum Software Security Posture score.

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