1. Open quantum rotors: Connecting correlations and physical currents
- Author
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Ricardo Puebla, Alberto Imparato, Alessio Belenchia, Mauro Paternostro, Aarhus University Research Foundation, Queen's University Belfast, University of Stuttgart, European Commission, Leverhulme Trust, Royal Society (UK), Engineering and Physical Sciences Research Council (UK), German Research Foundation, Puebla, Ricardo, and Belenchia, Alessio
- Subjects
Quantum Physics ,Statistical Mechanics (cond-mat.stat-mech) ,Physics ,FOS: Physical sciences ,General Physics and Astronomy ,Quantum Physics (quant-ph) ,Condensed Matter - Statistical Mechanics ,Statistical Mechanics - Abstract
9 pages, 9 figures, We consider a finite one-dimensional chain of quantum rotors interacting with a set of thermal baths at different temperatures. When the interaction between the rotors is made chiral, such a system behaves as an autonomous thermal motor, converting heat currents into non-vanishing rotational ones. Such a dynamical response is strongly pronounced in the range of the Hamiltonian parameters for which the ground state of the system in the thermodynamic limit exhibits a quantum phase transition. Such working points are associated with large quantum coherence and multipartite quantum correlations within the state of the system. This suggests that the optimal operating regime of such quantum autonomous motor is one of maximal quantumness., A.I. gratefully acknowledges the financial support of The Faculty of Science and Technology at Aarhus University through a Sabbatical scholarship and the hospitality of the Quantum Technology group, the Centre for Theoretical Atomic, Molecular and Optical Physics and the School of Mathematics and Physics, during his stay at Queen’s University Belfast. A.B. acknowledges the hospitality of the Institute for Theoretical Physics and the “Nonequilibrium quantum dynamics” group at Universität Stuttgart, where part of this work was carried out. R.P. and M.P. acknowledge the support by the SFI-DfE Investigator Programme (Grant No. 15/IA/2864) the Eropean Union’s Horizon 2020 FET-Open project SuperQuLAN (899354) and TEQ (766900). M.P. acknowledges support by the Leverhulme Trust Research Project Grant UltraQuTe (Grant No. RGP-2018-266), the Royal Society Wolfson Fellowship (RSWF/R3/183013), the UK EPSRC (Grant No. EP/T028424/1) and the Department for the Economy Northern Ireland under the US-Ireland R&D Partnership Programme. A.B. also acknowledges support from H2020 through the MSCA IF pERFEcTO (Grant Agreement No. nr. 795782) and from the DeutscheForschungsgemeinschaft (DFG, German Research Foundation) Project No. BR5221/4-1.
- Published
- 2022