
It provides a reliable method to certify quantum non‑classicality despite real‑world imperfections, a prerequisite for secure device‑independent quantum technologies.
The no‑signalling principle underpins Bell‑test and EPR‑steering experiments, yet practical quantum hardware rarely achieves perfect isolation between parties. Small leaks of information—whether from crosstalk, detector inefficiencies, or post‑selection bias—can masquerade as genuine quantum violations, misleading researchers about the strength of non‑local correlations. Recognising this gap, the new study proposes a geometric "signalling budget" that quantifies how far observed data strays from the ideal no‑signalling subspace, turning a nuisance into a measurable resource.
To operationalise the budget, the authors enlarge the classical LHV and LHS polytopes, allowing a bounded amount of signalling while preserving the core structure of Bell and steering inequalities. Using linear and semi‑definite programming, they compute exact non‑classicality witnesses from the full statistical dataset and derive analytical corrections to standard inequalities. When applied to the ibm_brisbane superconducting processor and to experiments with deliberately inefficient detectors, the framework identified apparent violations of the Tsirelson bound that were fully explained by residual signalling, thereby preventing false claims of quantum advantage.
Beyond academic rigor, this methodology has direct implications for emerging quantum services. Device‑independent randomness generation and quantum key distribution rely on unquestionable Bell violations; any hidden signalling could compromise security. By embedding a signalling budget into certification protocols, manufacturers can demonstrate that their devices meet stringent security standards even in the presence of realistic imperfections. The approach also guides future hardware design, highlighting which systematic errors most threaten non‑classicality tests, and sets a roadmap for more trustworthy quantum technologies.
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