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most citedResonant states reveal strong light-matter coupling in nanophotonic cavities

1 citations

6 papers

physics.optics2026

Analysis of the Topology of a Plasmonic Target-Skyrmion Texture

Alexander Neuhaus, Pascal Dreher, Philipp Gessler +5

The paper experimentally investigates plasmonic near-field textures that form alternating skyrmion and antiskyrmion patterns, using photoemission electron microscopy and vector pol…

quant-ph20261 cited

Asymptotic bounds on quantum partial search algorithm and its applications to parallel search

Yan-Bo Jiang, Xiao-Hui Wang, Kun Zhang +1

Grover's algorithm provides a quadratic speedup over classical algorithms for searching an unstructured database and is known to be strictly optimal in oracle query complexity, wit…

quant-ph2026

Emergent mirror symmetry in the optimization of the central-spin quantum battery

Hui-Yu Yang, Kun Zhang, Xiao-Hui Wang +1

Quantum batteries provide a useful setting for exploring nonequilibrium many-body effects in energy storage. Here we investigate the optimization of a quantum battery based on the…

hep-lat2026

Algorithmic Aspects of Gauged Gaussian Fermionic PEPS: Gauge Fixing and Translation Invariance

Itay Gomelski, Jonathan Elyovich, Ariel Kelman +2

Lattice gauge theories (LGTs) provide a powerful framework for studying non-perturbative phenomena in gauge theories. However, conventional approaches such as Monte Carlo (MC) simu…

physics.optics20261 cited

Resonant states reveal strong light-matter coupling in nanophotonic cavities

Jan David Fischbach, Sergei Gladyshev, Adrià Canós Valero +3

Photonic resonances enable control over light-matter interactions, but many key phenomena only emerge in the strong-coupling regime where light and matter excitations fully hybridi…

quant-ph2026

Probing Many-Body Phenomena with Atomically Thin Nuclear Spin Layers in Diamond

Philipp J. Vetter, Christoph Findler, Antonio Verdú +10

Quantum simulation aims to recreate complex many-body phenomena in controlled environments, offering insights into dynamics that are otherwise difficult to model. Existing platform…