论文标题
无参考模式的多相估计
Multiphase estimation without a reference mode
论文作者
论文摘要
多相估计是多参数问题的范式示例。当测量嵌入干涉量网络中的多个阶段时,与单参数和经典估计方案相比,专门量化的输入量子状态达到了增强的敏感性。已经大大关注的是定义最佳参考模式,以最佳探针状态和最佳测量运算符来评估所有阶段的最佳策略。同样,这些策略假设了无限的外部资源,这在实验上是不现实的。在这里,我们优化了一个广义的方案,该方案可以在平等的基础上对待所有阶段,并考虑到外部参考文献提供的资源。我们表明,由于全局阶段的不可估量,缺乏外部参考模式会减少同时估计参数的数量,并且估计的参数的对称性决定了最佳探测态的对称性。最后,我们提供了在这种广义场景中构建最佳测量结果的见解。这项工作的实验性可行性是其基本物理学以外的直接实际重要性。
Multiphase estimation is a paradigmatic example of a multiparameter problem. When measuring multiple phases embedded in interferometric networks, specially-tailored input quantum states achieve enhanced sensitivities compared with both single-parameter and classical estimation schemes. Significant attention has been devoted to defining the optimal strategies for the scenario in which all of the phases are evaluated with respect to a common reference mode, in terms of optimal probe states and optimal measurement operators. As well, the strategies assume unlimited external resources, which is experimentally unrealistic. Here, we optimize a generalized scenario that treats all of the phases on an equal footing and takes into account the resources provided by external references. We show that the absence of an external reference mode reduces the number of simultaneously estimatable parameters, owing to the immeasurability of global phases, and that the symmetries of the parameters being estimated dictate the symmetries of the optimal probe states. Finally, we provide insight for constructing optimal measurements in this generalized scenario. The experimental viability of this work underlies its immediate practical importance beyond fundamental physics.