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Estimation of parameters in circuit QED by continuous quantum measurement

机译:连续量子测量电路QED参数估计

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Designing high-precision and efficient protocols is of crucial importance for quantum parameter estimation in practice. Estimation based on continuous quantum measurement is one possible type of this, which also appears to be the most natural choice for continuous dynamical processes. In this work we consider the state-of-the-art superconducting circuit quantum-electrodynamics (QED) systems, where high-quality continuous measurements have been extensively performed in the past decade. Within the framework of Bayesian estimation and particularly using the quantum Bayesian rule in circuit QED, we numerically simulate the likelihood function as an estimator for the Rabi frequency of qubit oscillations.We find that, by proper design of the interaction strength of measurement, the estimate precision can scale with the measurement time beyond the standard quantum limit, which is usually assumed for this type of continuous measurement. This unexpected result is supported by the simulated Fisher information and can be understood as a consequence of the quantum correlation between the output signals by simulating the effect of quantum efficiency of measurement.
机译:设计高精度和高效协议对于实践中量子参数估计至关重要。基于连续量子测量的估计是一种可能的类型,这也似乎是连续动态过程最自然的选择。在这项工作中,我们考虑了最先进的超导电路量子电动电动(QED)系统,其中在过去十年中已经广泛地进行了高质量的连续测量。在贝叶斯估计框架内,特别是使用电路QED中的量子贝叶斯规则,我们在数值上模拟了Qubit振荡的Rabi频率的估计的似然函数。我们发现,通过适当设计测量的相互作用强度,估计精度可以通过超出标准量子限制的测量时间来缩放,这通常是为了这种类型的连续测量而假设。这个意外的结果是由模拟的Fisher信息支撑,并且可以被理解为通过模拟的测量的量子效率的影响的输出信号之间的量子关联的结果。

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