aiqbench analysis
This research presents a counterintuitive finding in quantum metrology where discarding measurement outcomes can actually yield higher precision for estimating physical parameters. The study establishes rigorous criteria determining when this "forgetting" strategy outperforms standard approaches that record all data, offering new insights into optimizing qubit probe protocols.
Encoding parameters by measurement: Forgetting can be better in quantum metrology
arXiv:2512.10541v2 Announce Type: replace Abstract: We introduce quantum parameter estimation with the encoding being via a quantum measurement. We quantify the precision for estimating parameters characterizing a general two-outcome qubit measurement, considering two cases: when the outcomes of the encoding measurement are recorded and when the same are ignored. We find that in a large variety of such estimation scenarios, forgetting the outcomes yields higher precision. We derive a necessary criterion under which remembering the measurement outcomes provides better precision in comparison to the outcome-forgotten strategy. Furthermore, we establish a necessary and sufficient criterion for the simultaneous estimation of multiple parameters encoded by an arbitrary quantum process, including those involving measurements, using qubit probes, and find when the quantum Cram\'er$-$Rao bound is valid and achievable. For simultaneous estimation of two parameters characterizing the measurement, we find that the achievable quantum Cram\'er$-$Rao bound can be a valid precision bound only when the measurement direction depends on the parameters of interest.
Abstract:We introduce quantum parameter estimation with the encoding being via a quantum measurement. We quantify the precision for estimating parameters characterizing a general two-outcome qubit measurement, considering two cases: when the outcomes of the encoding measurement are recorded and when the same are ignored. We find that in a large variety of such estimation scenarios, forgetting the outcomes yields higher precision. We derive a necessary criterion under which remembering the measurement outcomes provides better precision in comparison to the outcome-forgotten strategy. Furthermore, we establish a necessary and sufficient criterion for the simultaneous estimation of multiple parameters encoded by an arbitrary quantum process, including those involving measurements, using qubit probes, and find when the quantum Cramér$-$Rao bound is valid and achievable. For simultaneous estimation of two parameters characterizing the measurement, we find that the achievable quantum Cramér$-$Rao bound can be a valid precision bound only when the measurement direction depends on the parameters of interest.
arXiv:2512.10541 [quant-ph]
(or arXiv:2512.10541v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2512.10541 Focus to learn more arXiv-issued DOI via DataCite
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 243 words
Related coverage
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
arXiv · Aug 20, 2026
Fisher-information training of optical sensing front ends from natural fluctuations
arXiv · Sep 22, 2026

Autoencoder infers Hamiltonians from quantum dot chains
Quantum Zeitgeist · Oct 30, 2026
FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning
arXiv · Sep 18, 2026