论文标题
量子轨迹的经典跟踪
Classical Tracking for Quantum Trajectories
论文作者
论文摘要
量子状态估计基于随机主方程(SME)的数值整合(SMES),为量子系统的演变提供了估计值,这些量子系统受到连续弱测量的影响。该方法类似于经典状态估计方法,因为通过解决中小型企业产生的量子轨迹是根据连续的经典测量信号进行的。在本文中,我们探讨了对候选量子系统的经典状态估计的使用,该系统基于实验可实现的系统:一种在光学陷阱中进行连续反馈冷却的材料对象。特别是,我们证明了基于粒子过滤器的经典跟踪方法可用于跟踪量子状态,并且对于量子状态估计的较高温度状态特别有用。
Quantum state estimation, based on the numerical integration of stochastic master equations (SMEs), provides estimates for the evolution of quantum systems subject to continuous weak measurements. The approach is similar to classical state estimation methods in that the quantum trajectories produced by solving the SME are conditioned on continuous classical measurement signals. In this paper, we explore the use of classical state estimation for a candidate quantum system, one based on an experimentally realisable system: a material object undergoing continuous feedback cooling in an optical trap. In particular, we demonstrate that classical tracking methods based on particle filters can be used to track quantum states, and are particularly useful for higher temperature regimes where quantum state estimation becomes computationally demanding.