Bayesian estimation for quantum sensing in the absence of single-shot detection
Bayesian estimation for quantum sensing in the absence of single-shot detection
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DOI：
10.1103/physrevb.99.125413
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发表时间：
2019-03-11
影响因子：
3.7
通讯作者：
Bonato, Cristian
中科院分区：
文献类型：
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作者：
Dinani, Hossein T.;Berry, Dominic W.;Bonato, Cristian
量子纠错和量子相位估计等量子信息协议已被广泛用于提高量子传感器的性能。虽然这些协议依赖于单次检测，但在大多数实际应用中，只有一个平均读数可用，例如在金刚石中与氮空位中心相关的电子自旋的室温传感的情况下。在此，我们从理论上研究了量子相位估计算法在高动态范围磁强计中，当单次读数不可用时的应用。我们表明，即使在这种情况下，贝叶斯估计也提供了一种有效使用可用信息的自然方法。我们应用贝叶斯分析实现了一种优化的传感方案，用于估计室温下与氮空位中心相关的单电子自旋与时间无关的磁场，并表明该方案比以前的方案提高了3倍以上的灵敏度。此外，我们还表明，通过考虑检测器点击中的定时信息可以实现额外的增强。
Quantum information protocols, such as quantum error correction and quantum phase estimation, have been widely used to enhance the performance of quantum sensors. While these protocols have relied on single-shot detection, in most practical applications only an averaged readout is available, as in the case of room-temperature sensing with the electron spin associated with a nitrogen-vacancy center in diamond. Here, we theoretically investigate the application of the quantum phase estimation algorithm for high dynamic-range magnetometry, when single-shot readout is not available. We show that, even in this case, Bayesian estimation provides a natural way to efficiently use the available information. We apply Bayesian analysis to achieve an optimized sensing protocol for estimating a time-independent magnetic field with a single electron spin associated to a nitrogen-vacancy center at room temperature and show that this protocol improves the sensitivity over previous protocols by more than a factor of 3. Moreover, we show that an extra enhancement can be achieved by considering the timing information in the detector clicks.