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Design and optimization of the physical-to-logical interface for detection-time-informed fidelity

Develop and optimize a physical-to-logical interface that maps on-the-fly estimates of motion-induced infidelity for each Bell pair—computed from photon detection-time information in cavity-assisted heralded entanglement generation—into inputs usable by logical-level quantum error-correcting code protocols such as entanglement-distillation decoding.

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Background

The paper introduces a kick-operator model to quantify motion-induced infidelity in cavity-assisted heralded entanglement generation and shows that detection-time information can be used to estimate the infidelity of each produced Bell pair on the fly. The authors note that these estimates could be integrated into logical-level quantum error-correcting code protocols, for example, decoding steps in entanglement distillation.

They explicitly state that designing and optimizing the interface between the physical layer (which produces detection-time-based infidelity estimates) and the logical layer (which consumes such information for error correction and distillation) remains to be done. This interface is essential for system-level applications such as multiprocessor fault-tolerant quantum computing and quantum networking nodes.

References

Our model further supports the on-the-fly estimation of motion-induced infidelity in each Bell pair, from the photon detection-time information, in a similar spirit as Ref.. This can be fed into protocols implemented at the logical level of quantum error-correcting codes, such as decoding in the logical-level entanglement-distillation protocols . Further system-level optimization for multiprocessor fault-tolerant quantum computing or quantum networking nodes is possible by incorporating the identified rate-fidelity tradeoff. We leave the physical-to-logical interface design and optimization for future work.

Taming Recoil Effect in Cavity-Assisted Quantum Interconnects (2502.14859 - Kikura et al., 20 Feb 2025) in Section 6: conclusion and outlook