@misc{indiciae5bfc971f47a9,
  title = {More buck-per-shot: Why learning trumps mitigation in noisy quantum sensing},
  author = {Ijaz, Aroosa [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Waterloo, ON (Canada); Vector Institute, Toronto, ON (Canada)] and Alderete, C. Huerta [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] and Sauvage, Frédéric [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Quantinuum, London (United Kingdom)] and Cincio, Lukasz [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] and Cerezo, M. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000227573170) and Goh, Matthew L. [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Oxford (United Kingdom)]},
  year = {2025},
  doi = {10.1016/j.mtquan.2025.100042},
  url = {https://www.osti.gov/biblio/2568876},
  note = {Source identifier: 2568876}
}