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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.)

Reservoir engineering for maximally efficient quantum engines

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Author(s):
Mendonca, Taysa M. [1] ; Souza, Alexandre M. [2] ; de Assis, Rogerio J. [3] ; de Almeida, Norton G. [3] ; Sarthour, Roberto S. [2] ; Oliveira, Ivan S. [2] ; Villas-Boas, Celso J. [1]
Total Authors: 7
Affiliation:
[1] Univ Fed Sao Carlos, Dept Fis, BR-13565905 Sao Carlos, SP - Brazil
[2] Ctr Brasileiro Pesquisas Fis, BR-22290180 Rio De Janeiro, RJ - Brazil
[3] Univ Fed Goias, Inst Fis, BR-74001970 Goiania, Go - Brazil
Total Affiliations: 3
Document type: Journal article
Source: PHYSICAL REVIEW RESEARCH; v. 2, n. 4 DEC 24 2020.
Web of Science Citations: 0
Abstract

We employ reservoir engineering technique to build an artificial thermal bath at arbitrary (effective) negative and positive temperatures for a single spin system. The required interaction engineering is achieved by applying a specific sequence of radio-frequency pulses using nuclear magnetic resonance, while the temperature of the bath can be controlled by appropriate preparation of the initial H-1 nuclear spin state. This artificial reservoir allowed us to implement a single qubit quantum engine that operates at a single reservoir at effective negative temperature and with maximum efficiency, independent of the unitary transformation performed on the qubit system, as long as it changes the qubit state. We measured the population of the carbon spin and the efficiency of our quantum engine, which are in very good agreement with the predicted results. (AU)

FAPESP's process: 19/11999-5 - Collective effects on atomic systems, nuclear spins and cavity quantum electrodynamics
Grantee:Celso Jorge Villas-Bôas
Support Opportunities: Regular Research Grants
FAPESP's process: 13/04162-5 - Development of quantum sensors based on ultracold atoms
Grantee:Philippe Wilhelm Courteille
Support Opportunities: Research Projects - Thematic Grants