Extending radiowave frequency detection range with dressed states of solid-state spin ensembles

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Jens C. Hermann, Roberto Rizzato, Fleming Bruckmaier, Robin D. Allert, Aharon Blank, Dominik B. Bucher
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引用次数: 0

Abstract

Quantum sensors using solid-state spin defects excel in the detection of radiofrequency (RF) fields, serving various applications in communication, ranging, and sensing. For this purpose, pulsed dynamical decoupling (PDD) protocols are typically applied, which enhance sensitivity to RF signals. However, these methods are limited to frequencies of a few megahertz, which poses a challenge for sensing higher frequencies. We introduce an alternative approach based on a continuous dynamical decoupling (CDD) scheme involving dressed states of nitrogen vacancy (NV) ensemble spins driven within a microwave resonator. We compare the CDD methods to established PDD protocols and demonstrate the detection of RF signals up to ~85 MHz, about ten times the current limit imposed by the PDD approach under identical conditions. Implementing the CDD method in a heterodyne/synchronized protocol combines the high-frequency detection with high spectral resolution. This advancement extends to various domains requiring detection in the high frequency (HF) and very high frequency (VHF) ranges of the RF spectrum, including spin sensor-based magnetic resonance spectroscopy at high magnetic fields.

Abstract Image

利用固态自旋组合的掺杂态扩展辐射波频率探测范围
使用固态自旋缺陷的量子传感器在检测射频(RF)场方面表现出色,可用于通信、测距和传感领域的各种应用。为此,通常采用脉冲动态退耦(PDD)协议,以提高对射频信号的灵敏度。然而,这些方法仅限于几兆赫兹的频率,这给更高频率的传感带来了挑战。我们介绍了一种基于连续动态去耦方案的替代方法,该方案涉及微波谐振器内驱动的氮空位(NV)集合自旋的着色态。我们将 CDD 方法与已确立的 PDD 协议进行了比较,并演示了高达 ~85 MHz 的射频信号检测,约为相同条件下 PDD 方法电流限制的十倍。在异频/同步协议中实施 CDD 方法,可将高频检测与高光谱分辨率结合起来。这一进步可扩展到需要在射频频谱的高频 (HF) 和甚高频 (VHF) 范围内进行探测的各种领域,包括在高磁场下基于自旋传感器的磁共振光谱学。
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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
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