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arXiv 2501.03364quant-phgr-qc
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Lindblad估计与快速精确量子控制

Lindblad estimation with fast and precise quantum control

James W. Gardner, Simon A. Haine, Joseph J. Hope, Yanbei Chen, Tuvia Gefen

AI总结:

本文研究利用量子技术增强随机信号传感器,确定Lindblad估计的灵敏度极限,证明快速投影测量并重新初始化量子态为最优,并开发了适用于随机波形估计、量子比特光谱学等应用的最优协议。

摘要:

利用量子技术增强随机信号精密传感器是一个新兴且有前景的物理领域。估计弱随机波形是许多基础物理实验的核心任务,包括搜索随机引力波、量子引力和轴子暗物质。同时,噪声光谱学和表征,例如估计量子器件中的各种衰减机制,与广泛的基础和技术应用相关。我们考虑在给定任何量子态、快速精确控制序列和测量方案的情况下,这些器件进行Lindblad估计灵敏度的终极极限。我们证明,快速投影测量并重新初始化量子态是最优的。我们为广泛的应用开发了最优协议,包括随机波形估计、量子比特光谱学和Lindblad估计。

英文摘要:

Enhancing precision sensors for stochastic signals using quantum techniques is a promising emerging field of physics. Estimating a weak stochastic waveform is the core task of many fundamental physics experiments including searches for stochastic gravitational waves, quantum gravity, and axionic dark matter. Simultaneously, noise spectroscopy and characterisation, e.g. estimation of various decay mechanisms in quantum devices, is relevant to a broad range of fundamental and technological applications. We consider the ultimate limit on the sensitivity of these devices for Lindblad estimation given any quantum state, fast and precise control sequence, and measurement scheme. We show that it is optimal to rapidly projectively measure and re-initialise the quantum state. We develop optimal protocols for a wide range of applications including stochastic waveform estimation, spectroscopy with qubits, and Lindblad estimation.

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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