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中国物理学会期刊

基于量子光源的光谱与成像

CSTR: 32037.14.aps.75.20251515

Spectroscopy and imaging with quantum light

CSTR: 32037.14.aps.75.20251515
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  • 光谱测量与成像技术的进步已成为生命科学与材料科学研究中的关键表征手段. 然而, 在针对光学响应微弱的样品(如低维材料、活体细胞等)进行实际观测时, 高功率激发光往往引入显著经典噪声, 并造成不可忽视的光致损伤, 从而限制了光学测量的信噪比与应用范围. 在此背景下, 具备特殊量子统计特性的非经典光源(如纠缠光与压缩光)为实现超越经典极限的信噪比提升提供了极具潜力的解决方案. 本文聚焦于量子增强光谱与成像领域, 系统梳理了基于纠缠光与压缩光两类重要量子光源的最新研究进展. 纠缠光凭借光子间的量子关联特性, 在关联成像、非探测光子成像及超快干涉测量等应用中展现出卓越的抗噪声能力; 而压缩光则通过压缩光场噪声, 在位移传感、等离激元探测及非线性显微成像等方面显著提升了探测灵敏度与信噪比. 本文进一步系统阐述了量子光源在提高信噪比、降低光致损伤、提升时间分辨率以及增强非线性转换效率等方面的独特优势, 并分析了当前制约量子成像技术实用化的关键挑战, 包括光源亮度低、系统损耗大等问题. 最后, 对该领域未来的发展方向进行了展望.

     

    Advances in spectroscopic measurement and imaging technologies have become key tools in life sciences and materials science. However, for samples with weak optical responses, such as low-dimensional materials and living cells, high-power excitation light often introduces significant classical noise and causes non-negligible photodamage, thereby limiting the achievable signal-to-noise ratio (SNR) and the application scope. In this context, nonclassical light sources with unique quantum properties, such as entangled light and squeezed light, provide a promising route to surpass classical limits in SNR. This review focuses on the field of quantum-enhanced spectroscopy and imaging, and systematically reviews recent progress based on two important types of quantum light sources: entangled light and squeezed light. Owing to quantum correlations between photons, entangled light exhibits remarkable robustness against noise in applications such as correlation imaging, undetected-photon imaging, and ultrafast interferometric measurements. In contrast, squeezed light improves detection sensitivity and SNR by reducing quantum noise in the optical field, enabling enhanced performance in displacement sensing, plasmonic detection, and nonlinear microscopic imaging. Furthermore, this article systematically discusses the unique advantages of quantum light sources in improving SNR, reducing photodamage, enhancing temporal resolution, and increasing nonlinear conversion efficiency. It also analyzes key challenges that currently limit the practical implementation of quantum imaging technologies, including the low brightness of quantum light sources and large system losses. Finally, we discuss the future directions in this field.

     

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