论文标题
通过自适应顺序观察改善量子态检测
Improving quantum state detection with adaptive sequential observations
论文作者
论文摘要
对于用于信息处理的许多量子系统，人们通过整合随着时间的推移连续观察到的数量来检测量子的逻辑状态。例如，通常通过驱动循环跃迁并计算从所得荧光中观察到的光子数量来测量离子和原子量子。与其仅在固定的时间间隔内记录总观测到的计数，还可以观察光子到达时间，并通过在模型（例如隐藏的Markov模型）中使用时间结构来获得状态检测优势。我们研究通过应用脉冲在观察过程中适应状态可以实现的进一步优势。我们给出了一个三州的示例，其中自适应选择的转换产生了明显的优势，并且我们比较了一个离子示例的性能，在该示例中，我们看到了某些制度的改进。我们提供了一个软件包，可用于探索有或没有自适应转换的时间解决策略。
For many quantum systems intended for information processing, one detects the logical state of a qubit by integrating a continuously observed quantity over time. For example, ion and atom qubits are typically measured by driving a cycling transition and counting the number of photons observed from the resulting fluorescence. Instead of recording only the total observed count in a fixed time interval, one can observe the photon arrival times and get a state detection advantage by using the temporal structure in a model such as a Hidden Markov Model. We study what further advantage may be achieved by applying pulses to adaptively transform the state during the observation. We give a three-state example where adaptively chosen transformations yield a clear advantage, and we compare performances on an ion example, where we see improvements in some regimes. We provide a software package that can be used for exploration of temporally resolved strategies with and without adaptively chosen transformations.
