Probe Incompatibility in Multiparameter Noisy Quantum Channel Estimation

F. Albarelli, R. Demkowicz-Dobrzański
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引用次数: 1

Abstract

We derive fundamental bounds on the maximal achievable precision in multiparameter noisy quantum channel estimation, valid under the most general entanglement-assisted adaptive strategy, which are tighter than the bounds obtained by a direct use of single-parameter bounds. This allows us to study the issue of the optimal probe incompatibility in the simultaneous estimation of multiple parameters in generic noisy channels, while so far the issue has been studied mostly in effectively noiseless scenarios (where the Heisenberg scaling is possible). We apply our results to the estimation of both unitary and noise parameters, and indicate models where the fundamental probe incompatibility is present. In particular, we show that in lossy multiple arm interferometry the probe incompatibility is as strong as in the noiseless scenario. Finally, going beyond the multiple-parameter estimation paradigm, we introduce the concept of \emph{random quantum sensing} and show how the tools developed may be applied to multiple channels discrimination problems. As an illustration, we provide a simple proof of the loss of the quadratic advantage of time-continuous Grover algorithm in presence of dephasing or erasure noise.
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多参数噪声量子信道估计中的探针不兼容
我们推导了多参数噪声量子信道估计的最大可达到精度的基本边界,该边界在最一般的纠缠辅助自适应策略下有效,比直接使用单参数边界获得的边界更严格。这使我们能够研究在通用噪声信道中同时估计多个参数时的最佳探针不相容问题,而到目前为止,该问题主要是在有效无噪声的情况下研究的(其中海森堡缩放是可能的)。我们将结果应用于单位参数和噪声参数的估计,并指出存在基本探针不相容的模型。特别是,我们表明,在有损多臂干涉测量中,探头不兼容性与在无噪声情况下一样强。最后,超越多参数估计范式,我们引入了\emph{随机量子传感}的概念,并展示了如何将开发的工具应用于多通道识别问题。作为一个例子,我们提供了一个简单的证明,证明了时间连续格罗弗算法在存在消相或擦除噪声的情况下会失去二次优势。
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