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The asymptotic emergence of the Second Law for a repeated charging process

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arxiv 2209.05339 v1 pith:IY72U247 submitted 2022-09-12 quant-ph

classification quant-ph
keywords secondbatterychargingstatessystemsasymptoticchainscycle
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In one of its versions, the Second Law states: "It is impossible to construct an engine which will work in a complete cycle, and produces no effect except the raising of a weight and cooling of a heat reservoir." While the Second Law is considered as one of the most robust laws of Nature, it is still challenging how to interpret it in a fully quantum domain. Here we unpack the true meaning of the "cyclicity" and formulate the Second Law for a generic quantum battery via its asymptotic properties of a charging process rather than in terms of a single cycle. As a paradigm, we propose a machine consisting of a battery that repeatedly interacts with identically prepared systems. We then propose the Second Law in the form: The ergotropy of the battery may increase indefinitely if and only if systems are in a non-passive state. One of the most interesting features of this new formulation is the appearance of the passive states that naturally generalize the notion of the heat bath. In this paper, we provide a handful of results that supports this formulation for diagonal systems. Interestingly, our methodology meets a well-known theory of Markov chains, according to which we classify the general charging processes based on the passivity/non-passivity of charging systems. In particular, the adopted mathematics allows us to distinguish a subtle asymptotic difference between the indefinite increase of the battery's energy (induced by the maximally mixed states) and of ergotropy (induced by the non-passive states) in terms of the so-called null-recurrent versus transient Markov chains.

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  1. Concentration of ergotropy in many-body systems

    quant-ph 2024-12 conditional novelty 7.0 of 10

    Ergotropy of large many-body quantum batteries concentrates exponentially around its average for almost all random states, with numerical evidence for the same behavior under the Bures (least-informative) prior.

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