AI 中文总结
本文以光异构化为场景，构建耦合结构化振动环境的可调分子光开关模型，研究资源理论热操作界限的逼近问题，发现环境记忆可突破马尔可夫热操作的产率限制，逼近界限取决于微观耦合结构。
AI 中文摘要
热力学的资源理论方法为物理过程的效率提供了强大的、与模型无关的界限，因为它们不依赖于环境的微观细节。这类界限能否被由明确的系统-环境相互作用产生的现实动力学逼近，仍是一个悬而未决的问题。光异构化作为一种基本的分子光反应，为检验这一问题提供了具体场景。我们引入了一个耦合到结构化振动环境的分子光开关的可调微观模型，该模型可在马尔可夫和非马尔可夫机制之间连续插值。资源理论分析特别预测，马尔可夫热操作的产率严格低于一般热操作。我们表明，环境记忆解除了与马尔可夫热演化相关的动力学限制，从而扩大了微观动力学可实现的变换集合。然而，逼近热操作界限取决于产生这种记忆的微观耦合结构，该结构引导所得动力学朝向目标变换。
英文摘要
Resource-theoretic approaches to thermodynamics provide powerful, model-independent bounds on the efficiency of physical processes, because they do not rely on microscopic details of the environment. Whether such bounds can be approached by realistic dynamics generated by explicit system-environment interactions remains an open question. Photoisomerization, a fundamental molecular photoreaction, offers a concrete setting to examine this issue. We introduce a tunable microscopic model of a molecular photoswitch coupled to a structured vibrational environment, which interpolates continuously between Markovian and non-Markovian regimes. Resource-theoretic analysis predicts in particular that Markovian Thermal Operations achieve strictly lower yields than general Thermal Operations. We show that environmental memory lifts dynamical restrictions associated with Markovian thermal evolutions, thereby enlarging the set of transformations accessible to the microscopic dynamics. Approaching the thermal operation bound, however, depends on the microscopic coupling structure that generates this memory and directs the resulting dynamics towards the target transformation.
Comments15 pages, 5 figures
