2020
DOI: 10.1016/j.physa.2019.122108
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Micro-reversibility and thermalization with collisional baths

Abstract: Micro-reversibility plays a central role in thermodynamics and statistical mechanics. It is used to prove that systems in contact with a thermal bath relax to canonical ensembles. However, a problem arises when trying to reproduce this proof for classical and quantum collisional baths, i.e. particles at equilibrium interacting with a localized system via collisions. In particular, micro-reversibility appears to be broken and some models do not thermalize when interacting with Maxwellian particles. We clarify t… Show more

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Cited by 15 publications
(15 citation statements)
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“…In a series of papers [18,19], we adopted a different strategy and managed to build a repeated interaction scheme with zero work by considering a fully autonomous scenario, where the units escape from the reservoir with a random velocity given by the effusion distribution, move in space as quantum wave packets, and collide with the system without the need of an external agent. In this case, the energy to switch on and off the interaction is provided by the spatial degree of freedom of the unit.…”
Section: Introductionmentioning
confidence: 99%
“…In a series of papers [18,19], we adopted a different strategy and managed to build a repeated interaction scheme with zero work by considering a fully autonomous scenario, where the units escape from the reservoir with a random velocity given by the effusion distribution, move in space as quantum wave packets, and collide with the system without the need of an external agent. In this case, the energy to switch on and off the interaction is provided by the spatial degree of freedom of the unit.…”
Section: Introductionmentioning
confidence: 99%
“…While employing WTDs in this sense clearly brings collision models closer to modelling real physical systems [ 43 , 44 , 45 ], here, we explore how introducing such randomness affects the performance of the collisional thermometry scheme. As we shall demonstrate, stochastic collision models allow us to achieve a greater range of parameter estimation over deterministic collision models without significantly sacrificing the maximal achievable precision.…”
Section: Stochastic Approachmentioning
confidence: 99%
“…This framework, whose origins can be traced back to some important works of the previous century [1][2][3], has given birth to a pletora of "collision" or "repeated interactions" models [4][5][6][7][8][9][10][11][12][13], which have been receiving an increasing attention in recent years, especially due to their fundamental importance in the fields of quantum thermodynamics and open quantum systems. For instance, collision models have been proven useful to investigate flux rectification [14], Landauer's principle [15,16], the emergence of thermalization or non-equilibrium steady states [17][18][19][20][21][22][23][24][25][26], quantum thermometry [27], quantum batteries [28] and quantum thermal machines [29][30][31][32][33], as well as to analyze the thermodynamics of non-thermal baths [34][35][36] or in the presence of strong coupling [37]. Applications outside the field of thermodynamics include the study of open quantum optical systems [38][39][40][41], simulation of non-Markovian effects [9,…”
mentioning
confidence: 99%