论文标题
混合状态的催化剂辅助概率相干蒸馏
Catalyst-Assisted Probabilistic Coherence Distillation for Mixed States
论文作者
论文摘要
催化剂的显着现象告诉我们，添加催化剂可以帮助状态转变。在本文中，我们考虑了严格不一致的操作下混合状态的催化剂辅助概率相干蒸馏的问题。为此，我们首先提出了通过随机性不一致的操作从初始混合状态中提取目标纯连贯状态的必要条件，并且是从初始状态获得目标纯状态的最大概率。在这些结果的帮助下，我们为存在提高最大转化概率的催化剂的存在提供了必要和充分的条件。
The remarkable phenomenon of catalyst tells us that adding a catalyst could help state transformation. In this paper, we consider the problem of catalyst-assisted probabilistic coherence distillation for mixed states under strictly incoherent operations. To this end, we first present the necessary and sufficient conditions for distilling a target pure coherent state from an initial mixed state via stochastic strictly incoherent operations and the maximal probability of obtaining the target pure state from the initial state. With the help of these results, we present the necessary and sufficient conditions for the existence of a catalyst that increases the maximal transformation probability.
