728 papers
The subatomic world is a realm where matter behaves in ways that defy our everyday intuition, and this category explores the fundamental building blocks of our universe. From the intricate dance of quarks inside a proton to the strange properties of electrons, these studies reveal the deep rules that govern everything from the smallest particles to the largest stars.
At Gist.Science, we track every new preprint in this field as it appears on arXiv, ensuring you stay ahead of the curve. For each discovery, we provide both a clear, plain-language explanation of the core ideas and a detailed technical summary for those who want to dive deeper into the mathematics and methodology.
Below are the latest papers in Atom-Ph, offering fresh insights into the structure and behavior of the atomic scale.
This paper demonstrates a Floquet-engineered toolbox for controlling nonreciprocal light-induced dipolar interactions in tweezer arrays, enabling operations like squeezing and beamsplitting to tune complex eigenfrequencies for exploring non-Hermitian many-body physics and collective quantum optomechanics.
This paper demonstrates that in the semi-classical limit, highly-excited hydrogen atom energy eigenfunctions correspond not to a single classical orbit but to an equal-weight superposition of classical elliptic orbits sharing the same energy and angular momentum, as evidenced by the matching of quantum and classical probability distributions.
This study utilizes a neutral-atom quantum simulator on a Lieb lattice to experimentally and theoretically map out complex density-wave phases, discover a quantum analog of the liquid-vapor transition with hysteretic dynamics, and observe anomalously slow relaxation in an emergent string phase, thereby demonstrating the platform's capability to explore diverse nonequilibrium phenomena in programmable quantum matter.
This paper presents a compact, fiber-integrated neutral atom networking node utilizing a parabolic mirror on an optical chip to achieve high photon collection efficiency (9%) and high-fidelity atom-photon entanglement (0.98), offering a robust, cavity-free building block for scalable quantum networks.
This paper derives a general formula for the energy level contributions of nuclear tensor polarizability in two-body bound systems, demonstrating its role in mixing states of different orbital angular momenta, and specifically evaluates these effects on the hyperfine structure and S-D mixing in muonic deuterium.
This paper demonstrates that the interband Berry connection in an optical honeycomb lattice can be directly mapped by measuring the resonant excitation strength of ultracold fermionic atoms under periodic lattice modulation, revealing key geometric features such as transparency lines and irreducible Dirac strings between specific energy bands.
This paper experimentally demonstrates and theoretically validates magnetically induced transitions of the Cs 6SP line at 456 nm, which exhibit high intensity and large frequency shifts in magnetic fields, suggesting their potential for high-resolution optical frequency references and magnetometers in the blue spectrum.
This paper presents an improved analytical emission model based on a secondary-emission-surface approach that accurately predicts the angular intensity distribution and flux properties of primary effusive sources across the full range of molecular flow, from transparent to opaque regimes, to guide the design of efficient sources for atomic and molecular physics experiments.
Using high-precision x-ray spectroscopy of muonic chlorine atoms combined with advanced theoretical calculations, researchers determined the charge radii of stable Cl and Cl isotopes with an order-of-magnitude improvement in precision, resolving previous discrepancies in mirror nuclei trends and establishing new reference values for future studies.
This paper proposes a non-autoregressive learning framework that utilizes atomic trajectories as an auxiliary modality during training to enable fast, accurate, and dynamic ionic transport prediction from static structures without requiring sequential inference or trajectory data at inference time.