Tuning the Photonic Spin Hall Effect through vacuum-induced transparency in an atomic cavity

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-03-27 DOI:10.1016/j.chaos.2025.116292
Muqaddar Abbas , Yunlong Wang , Feiran Wang , Hamid R. Hamedi , Pei Zhang
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Abstract

We present a method for manipulating the Photonic Spin Hall Effect (PSHE) by examining the characteristics of an atomic ensemble with two levels connected to a high-quality cavity. Although the cavity is initially in a vacuum state with no external excitation, a substantial change can be made to the atomic ensemble’s probe response. A coherent effect analogous to electromagnetically induced transparency (EIT) arises when the cavity decay rate is significantly lower than the atomic dissipation rate and the collective atom–cavity interaction is robust. This results in reduced absorption of the two-level atoms in the cavity, even in the absence of external stimulation, a phenomenon known as vacuum-induced transparency, which in turn amplifies the PSHE. Furthermore, we explore how varying the atomic number density enhances the PSHE without altering the cavity’s structure. These findings offer new prospects for applications in quantum electrodynamics within cavity systems.
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通过原子腔中的真空诱导透明度调谐光子自旋霍尔效应
我们提出了一种控制光子自旋霍尔效应(PSHE)的方法,该方法通过研究两个能级连接到高质量腔的原子系综的特性来实现。虽然空腔最初处于真空状态,没有外部激励,但原子系综的探针响应可以发生实质性变化。当腔衰变速率显著低于原子耗散速率且原子-腔集体相互作用较强时,会产生类似于电磁感应透明的相干效应。这导致腔中两能级原子的吸收减少,即使在没有外部刺激的情况下也是如此,这种现象被称为真空诱导透明,这反过来又放大了PSHE。此外,我们探讨了如何在不改变腔结构的情况下改变原子序数密度来增强PSHE。这些发现为量子电动力学在空腔系统中的应用提供了新的前景。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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