Fundamental Limits in Bayesian Thermometry and Attainability via Adaptive Strategies

Mehboudi, Mohammad; Jørgensen, Mathias R; Seah, Stella Lin Li; Brask, Jonatan; Kołodyński, Jan; Perarnau Llobet, Marti

doi:10.1103/PhysRevLett.128.130502

Scientific article

English

Fundamental Limits in Bayesian Thermometry and Attainability via Adaptive Strategies

ContributorsMehboudi, Mohammad; Jørgensen, Mathias R; Seah, Stella Lin Li; Brask, Jonatan; Kołodyński, Jan; Perarnau Llobet, Marti

Published inPhysical review letters, vol. 128, no. 13, 130502

Publication date2022-04-01

First online date2022-04-01

UNIGE affiliation entities

Faculté des sciences / Section de physique / Groupe de physique appliquée

UNIGE research groups

Groupe Brunner

Funding

Fundacja na rzecz Nauki Polskiej
European Regional Development Fund
Danmarks Frie Forskningsfond
Swiss National Science Foundation - Quantum Thermodynamics: From foundations to applications [186067]

Citation (ISO format)

MEHBOUDI, Mohammad et al. Fundamental Limits in Bayesian Thermometry and Attainability via Adaptive Strategies. In: Physical review letters, 2022, vol. 128, n° 13, p. 130502. doi: 10.1103/PhysRevLett.128.130502

Article (Published version)

Identifiers

PID : unige:181769
DOI : 10.1103/PhysRevLett.128.130502
PMID : 35426703

Journal ISSN0031-9007

52views

0downloads

Creation25/11/2024 13:59:56

First validation27/11/2024 14:59:46

Update27/11/2024 14:59:46

Status update27/11/2024 14:59:46

Last indexation27/11/2024 14:59:47

Archive ouverte UNIGE

Fundamental Limits in Bayesian Thermometry and Attainability via Adaptive Strategies

Technical informations