论文标题
非马科维亚碰撞模型中的熵生产：信息回流与系统 - 环境相关性
Entropy production in non-Markovian collision models: Information backflow vs system-environment correlations
论文作者
论文摘要
我们研究了与马尔可夫和非马克维亚政权中的微观碰撞模型建模的环境接触的量子的不可逆转熵产生。我们的主要目标是为非马克维亚动力学与负熵生产率之间的关系做出贡献。我们采用了两种不同类型的碰撞模型，这些模型可以或不保持系统与传入的环境粒子之间建立的相关性，而两者都通过从环境到系统的信息回流而与其非马克维亚性质有关。我们观察到，作为前一个模型，在保留系统和环境之间的相关性的情况下，在瞬态动力学中产生了负熵产生速率，即使与相应的马尔可夫动力学相比，后者始终保持正速率。我们的结果表明，负面熵生产率的基础的机制并非仅通过信息回流而不是非马克维亚性，而是通过已建立的系统 - 环境相关性对其进行贡献。
We investigate the irreversible entropy production of a qubit in contact with an environment modelled by a microscopic collision model both in Markovian and non-Markovian regimes. Our main goal is to contribute to the discussions on the relationship between non-Markovian dynamics and negative entropy production rates. We employ two different types of collision models that do or do not keep the correlations established between the system and the incoming environmental particle, while both of them pertain to their non-Markovian nature through information backflow from the environment to the system. We observe that as the former model, where the correlations between the system and environment is preserved, gives rise to negative entropy production rates in the transient dynamics, the latter one always maintains positive rates, even though the convergence to the steady-state value is slower as compared to the corresponding Markovian dynamics. Our results suggest that the mechanism underpinning the negative entropy production rates is not solely non-Markovianity through information backflow, but rather the contribution to it through established system-environment correlations.
