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This study experimentally validates sequential interaction-free measurement for up to five objects using Quandela's Ascella photonic processor, confirming theoretical predictions with error mitigation. By scaling a single-photon probe across multiple emulated absorbers, the work advances practical quantum interrogation techniques beyond traditional single-object limits.
Interaction-free measurement of multiple objects using a universal integrated photonic processor
arXiv:2604.04691v2 Announce Type: replace Abstract: The phenomenon of interaction-free measurement (IFM) enables the probabilistic detection of an absorbing object with reduced photon absorption. We report the experimental implementation of a generalized IFM of multiple objects using a single quantum probe on the cloud-based Ascella photonic processor developed by Quandela. We demonstrate sequential IFM of up to 5 emulated absorbers using a single photon, significantly extending the original IFM scheme for a single object. The experimental error-mitigated results confirm the theoretical predictions for this sequential IFM setup, and demonstrate a practical approach to scaling IFM to more complex quantum interrogation tasks.
Abstract:The phenomenon of interaction-free measurement (IFM) enables the probabilistic detection of an absorbing object with reduced photon absorption. We report the experimental implementation of a generalized IFM of multiple objects using a single quantum probe on the cloud-based Ascella photonic processor developed by Quandela. We demonstrate sequential IFM of up to 5 emulated absorbers using a single photon, significantly extending the original IFM scheme for a single object. The experimental error-mitigated results confirm the theoretical predictions for this sequential IFM setup, and demonstrate a practical approach to scaling IFM to more complex quantum interrogation tasks.
arXiv:2604.04691 [quant-ph]
(or arXiv:2604.04691v2 [quant-ph] for this version)
Interaction-free measurement of multiple objects using a universal integrated photonic processor. Sara Franco, Anita Camillini and Ernesto F Galvão, Quantum Sci. Technol. 11 035055, 2026
https://doi.org/10.1088/2058-9565/ae8df9 DOI(s) linking to related resources
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