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arXiv 2210.06103quant-ph
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单量子比特退相干时间尺度的实时自适应估计

Real-time adaptive estimation of decoherence timescales for a single qubit

Muhammad Junaid Arshad, Christiaan Bekker, Ben Haylock, Krzysztof Skrzypczak, Daniel White, Benjamin Griffiths, Joe Gore, Gavin W. Morley, Patrick Salter, Jason… 展开作者

Muhammad Junaid Arshad, Christiaan Bekker, Ben Haylock, Krzysztof Skrzypczak, Daniel White, Benjamin Griffiths, Joe Gore, Gavin W. Morley, Patrick Salter, Jason Smith, Inbar Zohar, Amit Finkler, Yoann Altmann, Erik M. Gauger, Cristian Bonato

AI总结:

本文提出一种基于解析更新规则的自适应多参数贝叶斯方法,利用先前实验信息实时估计单量子比特的退相干时间尺度和衰减指数,相比标准曲线拟合可将达到给定不确定度的时间最多减少一个数量级,并可通过灵敏度优化进一步提速约2倍。

摘要:

表征量子相干能够存续的时间对于量子比特、量子存储器和量子传感器的任何实现都至关重要。确定量子系统退相干速率的常用方法需要一套实验来探测该参数的整个预期范围,并在后处理中提取所得估计。在此,我们提出一种自适应多参数贝叶斯方法,基于一个简单的解析更新规则,利用先前实验中获得的信息,实时估计量子系统的关键退相干时间尺度($T_1$、$T_2^*$ 和 $T_2$)以及相应的衰减指数。与标准的曲线拟合协议相比,该方法将达到给定不确定度所需的时间减少最多一个数量级,具体取决于特定实验。通过针对灵敏度而非方差执行我们的优化,还可以进一步实现约 $\sim 2$ 倍的加速。

英文摘要:

Characterising the time over which quantum coherence survives is critical for any implementation of quantum bits, memories and sensors. The usual method for determining a quantum system's decoherence rate involves a suite of experiments probing the entire expected range of this parameter, and extracting the resulting estimation in post-processing. Here we present an adaptive multi-parameter Bayesian approach, based on a simple analytical update rule, to estimate the key decoherence timescales ($T_1$, $T_2^*$ and $T_2$) and the corresponding decay exponent of a quantum system in real time, using information gained in preceding experiments. This approach reduces the time required to reach a given uncertainty by a factor up to an order of magnitude, depending on the specific experiment, compared to the standard protocol of curve fitting. A further speed-up of a factor $\sim 2$ can be realised by performing our optimisation with respect to sensitivity as opposed to variance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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