We extend collisional quantum thermometry schemes to allow for stochasticity in the waiting time between successive collisions. We establish that introducing randomness through a suitable waiting time distribution, the Weibull distribution, allows us to significantly extend the parameter range for which an advantage over the thermal Fisher information is attained. These results are explicitly demonstrated for dephasing interactions and also hold for partial swap interactions. Furthermore, we show that the optimal measurements can be performed locally, thus implying that genuine quantum correlations do not play a role in achieving this advantage. We explicitly confirm this by examining the correlation properties for the deterministic collisional model.

Stochastic Collisional Quantum Thermometry / E. O’Connor, B.M. Vacchini, S. Campbell. - In: ENTROPY. - ISSN 1099-4300. - 23:12(2021 Dec 06), pp. 1634.1-1634.11. [10.3390/e23121634]

Stochastic Collisional Quantum Thermometry

B.M. Vacchini
Secondo
;
2021

Abstract

We extend collisional quantum thermometry schemes to allow for stochasticity in the waiting time between successive collisions. We establish that introducing randomness through a suitable waiting time distribution, the Weibull distribution, allows us to significantly extend the parameter range for which an advantage over the thermal Fisher information is attained. These results are explicitly demonstrated for dephasing interactions and also hold for partial swap interactions. Furthermore, we show that the optimal measurements can be performed locally, thus implying that genuine quantum correlations do not play a role in achieving this advantage. We explicitly confirm this by examining the correlation properties for the deterministic collisional model.
open quantum systems; quantum thermometry; collision models;
Settore FIS/03 - Fisica della Materia
Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici
   PIANO DI SOSTEGNO ALLA RICERCA 2015-2017 - TRANSITION GRANT LINEA 1A PROGETTO "UNIMI PARTENARIATI H2020"
   UNIVERSITA' DEGLI STUDI DI MILANO
6-dic-2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/890110
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