Breaking Rayleigh’s curse: broadband frequency super-resolution via a quantum harmonic oscillator

IF 9 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Hao Wu, Grant D. Mitts, Clayton Z. C. Ho, Joshua A. Rabinowitz, Eric R. Hudson
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引用次数: 0

Abstract

Non-orthogonal quantum states cannot be distinguished with complete certainty, making their underlying physical parameters difficult to resolve. In frequency spectroscopy of two closely spaced electromagnetic fields, this challenge has traditionally been associated with the Fourier-transform-limited linewidth, implying that the measurement time required to resolve a frequency difference Δω diverges as Δω → 0. Here, we show that this linewidth does not fundamentally limit the resolution of two closely spaced frequencies when each signal has sufficient amplitude for efficient detection. We propose and experimentally demonstrate a broadband quantum harmonic oscillator protocol for super-resolution spectroscopy in the radio-frequency and microwave domains. A Quantum Fluctuation Suppression (QFS) sequence encodes Δω into the oscillator state while suppressing parameter-independent shot noise. We resolve two randomly chosen electric fields near 100 MHz separated by 5 Hz, measuring 5.0(1.6) Hz with a 1ms probe time, 200 × beyond the conventional spectral-resolution limit. The method reduces acquisition time by more than five orders of magnitude and, through the motional Raman framework, is applicable across a broad frequency range.
打破瑞利诅咒:通过量子谐振子实现宽带频率超分辨率
非正交量子态不能完全确定地区分,使其底层物理参数难以解决。在两个紧密间隔电磁场的频率光谱中,这一挑战传统上与傅里叶变换限制线宽有关,这意味着解决频率差Δω所需的测量时间发散为Δω→0。在这里,我们表明,当每个信号都有足够的幅度进行有效检测时,这种线宽并没有从根本上限制两个紧密间隔频率的分辨率。我们提出并实验证明了一个宽带量子谐振子协议超分辨光谱在射频和微波领域。量子涨落抑制(QFS)序列将Δω编码为振荡器状态,同时抑制与参数无关的散粒噪声。我们解析了两个随机选择的电场,在100mhz附近,间隔5hz,测量5.0(1.6)Hz,探测时间为1ms,超出常规光谱分辨率极限200倍。该方法将采集时间减少了五个数量级以上,并且通过运动拉曼框架,适用于广泛的频率范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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