Robustness of multiqubit quantum computational sensing to realistic noise

Characterize the robustness of multiqubit quantum computational sensing protocols to realistic noise processes while preserving their task-specific sensing and computational advantages.

Background

Scaling QCS to multiple qubits could enable multiclass classification, multidimensional signal inputs, and more complicated computational transformations. However, multiqubit implementations are expected to be more vulnerable to decoherence, control imperfections, and other experimentally realistic noise sources.

The paper leaves unresolved how robust such multiqubit protocols are under realistic noise, making noise tolerance a distinct open problem alongside the challenge of training the protocols efficiently.

References

Open questions include how to train multiqubit protocols efficiently and how robust they are to realistic noise.

— Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit  (2608.17400 - Sen et al., 18 Aug 2026) in Section Discussion, subsection “Outlook”

It remains to determine whether the same sensing-and-reuse structure persists under imperfect stabilizer measurements, broader return-noise models, alternative signal generators, and other entanglement-assisted code families.

— An Entanglement-Assisted Stabilizer Framework for Distributed Sensing of Local Phases  (2609.02098 - Zheng et al., 2 Sep 2026) in Section 6, Discussion

A further question is whether code constructions can retain this structural compatibility while also providing genuine noise suppression or metrological gain.

— An Entanglement-Assisted Stabilizer Framework for Distributed Sensing of Local Phases  (2609.02098 - Zheng et al., 2 Sep 2026) in Section 6, Discussion