单自旋动态探针态感应磁场:利用量子费雪信息控制感应精度

S. Borisenok
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摘要

量子传感器在现代科学的许多分支中发挥着重要作用,在不断增长的量子器件市场中占有巨大的份额。量子传感器使用量子位及其类似物来检测和分析量子元素。一些传感器可以基于单个量子位,这通常被描述为一个在所谓的布洛赫球上进化的系统。不同的标准被用来评估传感过程的效率。其中最流行的是基于费雪信息的量子费雪信息矩阵(QFIM)。QFIM元件的大小与传感的精度密切相关。作为经典cramsamrs定理的类比,我们可以定义方差V的量子cramsamrs - rao界,它等于V = 1/NF,其中F是对应的量子Fisher信息元,N表示重复感官测量的次数。在这项工作中,我们开发了基于量子Fisher信息的方法,用于单个反馈驱动的量子位型元件,用于感应外部磁场。验证了算法的有效性,并讨论了进一步改进的可能性。本文开发的方法可以很容易地扩展到其他传感方案:集体自旋系统和基于多量子位的传感器。可以采用替代控制算法来驱动探针状态向量,以实现QFIM组件的最大化。控制算法的具体选择取决于具体的实验设置。
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Sensing Magnetic Field with Single-Spin Dynamical Probe State: Control over Sensing Precision via Quantum Fisher Information
Quantum sensors play an important role in many branches of modern science, and they occupy a huge segment of the growing market for quantum devices. Quantum sensors use qubits and their analogs as detecting and analyzing quantum elements. Some sensors can be based on a single qubit, which is often presented as a system making its evolution on the so-called Bloch sphere. Different criteria are used to evaluate the efficiency of the sensing process. One of the most popular is the Quantum Fisher Information Matrix (QFIM) based on Fisher information. The magnitudes of the QFIM elements are strongly related to the precision of the sensing. As an analog of the classical Cramér theorem, one can define the quantum Cramér-Rao bound for the variance V, which is equal to V = 1/NF where F is the corresponding quantum Fisher information element, and N stands for the number of repeated sensory measurements. In this work, we develop our quantum Fisher information-based approach for a single feedback-driven qubit-type element for sensing external magnetic fields. We demonstrate the efficiency of our algorithm and discuss its further possible improvement. The approach developed here can be easily extended to other sensing schemes: collective spin systems and multi-qubit-based sensors. Alternative control algorithms can be applied to drive the probe state vector for maximization of the QFIM components. The particular choice of the control algorithm is defined by the specific experimental set-up.
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