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Subradiance is a phenomenon where coupled emitters radiate light at a slower rate than independent ones. While its observation was first reported in disordered cold atom clouds, ordered subwavelength arrays of emitters have emerged as…

Quantum Physics · Physics 2025-12-03 Nicola Piovella , Romain Bachelard

Jet measurements in heavy ion collisions can provide constraints on the properties of the quark gluon plasma, but the kinematic reach is limited by a large, fluctuating background. We present a novel application of symbolic regression to…

High Energy Physics - Experiment · Physics 2024-03-12 Tanner Mengel , Patrick Steffanic , Charles Hughes , Antonio Carlos Oliveira da Silva , Christine Nattrass

Superradiance is the archetypical collective phenomenon where radiation is amplified by the coherence of emitters. It plays a prominent role in optics, where it enables the design of lasers with substantially reduced linewidths, quantum…

We introduce a robust, interpretable machine learning (ML) framework that combines numerical regression for high-accuracy predictions with symbolic regression to uncover the underlying physics. This hybrid approach effciently derives…

Nuclear Theory · Physics 2025-12-09 B. Maheshwari , P. Van Isacker

We theoretically study the quantum-coherence-enhanced subradiance in a chiral-coupled atomic chain with nonreciprocal decay channels. The collective radiation in this one-dimensional (1D) nanophotonics system results from the resonant…

Quantum Physics · Physics 2020-09-14 H. H. Jen

We examine the optical properties of a system of nano and micro particles of varying size, shape, and material (including metals and dielectrics, and sub-wavelength and super-wavelength regimes). Training data is generated by numerically…

Machine learning has proven to be a valuable tool to approximate functions in high-dimensional spaces. Unfortunately, analysis of these models to extract the relevant physics is never as easy as applying machine learning to a large dataset…

Materials Science · Physics 2020-05-06 Conrad W. Rosenbrock , Eric R. Homer , Gábor Csányi , Gus L. W. Hart

In inverted atomic ensembles, photon-mediated interactions give rise to Dicke superradiance, a form of many-body decay that results in a rapid release of energy as a photon burst. While originally studied in pointlike ensembles, this…

Quantum Physics · Physics 2024-03-20 Stuart J. Masson , Jacob P. Covey , Sebastian Will , Ana Asenjo-Garcia

We present a technique for translating a black-box machine-learned classifier operating on a high-dimensional input space into a small set of human-interpretable observables that can be combined to make the same classification decisions. We…

High Energy Physics - Phenomenology · Physics 2021-04-21 Taylor Faucett , Jesse Thaler , Daniel Whiteson

When an ensemble of quantum emitters interacts with a common radiation field, their emission becomes collective, giving rise to superradiant and subradiant states, characterized by broadened and narrowed linewidths. In this work, we propose…

Quantum Physics · Physics 2025-12-11 Diego Zafra-Bono , Oriol Rubies-Bigorda , Susanne F. Yelin

Microscopically understanding and classifying phases of matter is at the heart of strongly-correlated quantum physics. With quantum simulations, genuine projective measurements (snapshots) of the many-body state can be taken, which include…

Quantum Gases · Physics 2023-09-20 Henning Schlömer , Annabelle Bohrdt

Subwavelength atomic arrays, recently labeled as quantum metamaterials, have emerged as an exciting platform for obtaining novel quantum optical phenomena. The strong interference effects in these systems generate subradiant excitations…

Quantum Physics · Physics 2022-03-24 David Fernández-Fernández , Alejandro González-Tudela

We theoretically investigate resonant dipole-dipole interaction (RDDI) between artificial atoms in a 1D geometry, implemented by N transmon qubits coupled through a transmission line. Similarly to the atomic cases, RDDI comes from exchange…

Quantum Physics · Physics 2019-05-14 Kuan-Ting Lin , Ting Hsu , Chen-Yu Lee , Io-Chun Hoi , Guin-Dar Lin

Photon emission is the hallmark of light-matter interaction and the foundation of photonic quantum science, enabling advanced sources for quantum communication and computing. Although single-emitter radiation can be tailored by the photonic…

We investigate two-dimensional atomic arrays as a platform to modify the electromagnetic environment of individual quantum emitters. Specifically, we demonstrate that control over emission linewidths, resonant frequency shifts, and local…

Quantum Physics · Physics 2021-06-09 Taylor L. Patti , Dominik S. Wild , Ephraim Shahmoon , Mikhail D. Lukin , Susanne F. Yelin

In the study of optical properties of large atomic system, a weak laser driving is often assumed to simplify the system dynamics by linearly coupled equations. Here, we investigate the light scattering properties of atomic ensembles beyond…

Quantum Physics · Physics 2024-07-24 Chung-Hsien Wang , Nai-Yu Tsai , Yi-Cheng Wang , H. H. Jen

The interaction between light and matter is fundamental to developments in quantum optics and information. Over recent years enormous progress has been made in controlling the interface between light and single emitters including ions,…

Quantum simulators have the potential to solve quantum many-body problems that are beyond the reach of classical computers, especially when they feature long-range entanglement. To fulfill their prospects, quantum simulators must be fully…

Superradiance is a quantum phenomenon in which coherence between emitters results in enhanced and directional radiative emission. Many quantum optical phenomena can be characterized by the two-time quantum correlation function…

Quantum Physics · Physics 2026-01-30 Daniel Eyles , Emmanuel Lassalle , Adam Stokes , Ramón Paniagua-Domínguez , Ahsan Nazir

Resonant transmission of light is a surface-wave assisted phenomenon that enables funneling light through subwavelength apertures milled in otherwise opaque metallic screens. In this work, we introduce a deep learning approach to…