English

Cost-effective temperature estimation strategies for thermal states with probabilistic quantum metrology

Quantum Physics 2022-07-08 v1

Abstract

In probabilistic quantum metrology, one aims at finding weak measurements that concentrate the Fisher Information on the resulting quantum states, post-selected according to the weak outcomes. Though the Quantum Cram\'er-Rao bound itself cannot be overshot this way, it could be possible to improve the information-cost ratio, or even the total Fisher Information. We propose a post-selection protocol achieving this goal based on single-photon subtraction onto a thermal state of radiation yielding a greater information-cost ratio for the temperature parameter with respect to the standard strategy required to achieve the Quantum Cram\'er-Rao bound. We address just fully-classical states of radiation: this contrasts with (but does not contradict) a recent result proving that, concerning unitary quantum estimation problems, post-selection strategies can outperform direct measurement protocols only if a particular quasiprobability associated with the family of parameter-dependent quantum states becomes negative, a clear signature of nonclassicality.

Keywords

Cite

@article{arxiv.2111.05285,
  title  = {Cost-effective temperature estimation strategies for thermal states with probabilistic quantum metrology},
  author = {Massimo Frigerio and Stefano Olivares and Matteo G. A. Paris},
  journal= {arXiv preprint arXiv:2111.05285},
  year   = {2022}
}

Comments

20 pages; comments are welcome