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Squeezing-type lower bounds on generalized metrological sensitivity

Abstract

We introduce squeezing-type lower bounds for a hierarchy of variance bounds under specific unbiasedness constraints, which generalizes the quantum Cramér-Rao bound. Our construction directly extends standard squeezing coefficients to the corresponding generalized metrological sensitivities while retaining their experimentally accessible structure. We show how observables maximizing these bounds can be identified analytically within families of accessible observables. If arbitrary observables are accessible, the optimized squeezing-type bound recovers the exact generalized metrological sensitivity. These bounds provide efficient and experimentally viable characterizations of generalized metrological sensitivities that are especially relevant in finite-shot scenarios and in the transition from local to global parameter estimation.

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BibTeX
@misc{garciamartinez2026squeezingtype,
  title = {{Squeezing-type lower bounds on generalized metrological sensitivity}},
  author = {Irene García-Martínez and Manuel Gessner},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.26319},
  eprint = {2610.26319},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.26319},
}
RIS
TY  - UNPB
TI  - Squeezing-type lower bounds on generalized metrological sensitivity
AU  - Irene García-Martínez
AU  - Manuel Gessner
PY  - 2026
DA  - 2026/10/19
PB  - arXiv
DO  - 10.48550/arxiv.2610.26319
UR  - https://arxiv.org/abs/2610.26319
AB  - We introduce squeezing-type lower bounds for a hierarchy of variance bounds under specific unbiasedness constraints, which generalizes the quantum Cramér-Rao bound. Our construction directly extends standard squeezing coefficients to the corresponding generalized metrological sensitivities while retaining their experimentally accessible structure. We show how observables maximizing these bounds can be identified analytically within families of accessible observables. If arbitrary observables are accessible, the optimized squeezing-type bound recovers the exact generalized metrological sensitivity. These bounds provide efficient and experimentally viable characterizations of generalized metrological sensitivities that are especially relevant in finite-shot scenarios and in the transition from local to global parameter estimation.
ER  -