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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

ayesian estimation for collisional thermometr

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Author(s):
Alves, Gabriel O. [1] ; Landi, Gabriel T. [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Inst Fis, BR-05314970 Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: PHYSICAL REVIEW A; v. 105, n. 1 JAN 19 2022.
Web of Science Citations: 0
Abstract

Quantum thermometry exploits the high level of control in coherent devices to offer enhanced precision for temperature estimation. This highlights the need for constructing concrete estimation strategies. Of particular importance is collisional thermometry, where a series of ancillae are sent sequentially to probe the system's temperature. In this paper we put forth a complete framework for analyzing collisional thermometry using Bayesian inference. The approach is easily implementable and experimentally friendly. Moreover, it is guaranteed to always saturate the Cramer-Rao bound in the long-time limit. Subtleties concerning the prior information about the system's temperature are also discussed and analyzed in terms of a modified Cramer-Rao bound associated with Van Trees and Schutzenberger. (AU)

FAPESP's process: 17/50304-7 - Entropy production in non-equilibrium quantum processes: from foundations to quantum technologies
Grantee:Gabriel Teixeira Landi
Support Opportunities: Regular Research Grants
FAPESP's process: 20/16050-0 - Stroboscopic quantum metrology
Grantee:Gabriel Oliveira Alves
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 17/07973-5 - Thermodynamics and information technologies with continuous variable quantum systems
Grantee:Gabriel Teixeira Landi
Support Opportunities: Regular Research Grants
FAPESP's process: 18/12813-0 - Quantum thermodynamics of bosonic systems
Grantee:Gabriel Teixeira Landi
Support Opportunities: Regular Research Grants