Research works

Analog quantum feature selection with neutral-atom quantum processors

Abstract We present a quantum-native approach to feature selection (QFS) based on analog quantum simulation with neutral-atom arrays. Feature relevance, measured through mutual information with the target variable, is encoded in site-dependent local detunings, while pairwise feat...

Ethynyl Substituents as Rheostatic Triggers in Single‐Molecule Junctions

ABSTRACT Miniaturised mechanoresistive devices, where charge transport efficiency is modulated by mechanical displacement, are an important class of electromechanical systems that promise unique sensing accuracy and sensitivity. Single‐molecule junctions have emerged recently as...

Zeros and Exponential Profiles of Polynomials I: Limit Distributions, Finite Free Convolutions and Repeated Differentiation

Abstract Given a sequence of polynomials $$(P_n)_{n \in \mathbb {N}}$$ ( P n ) n ∈ N with only nonpositive zeros, the aim of this article is to present a user-friendly approach for determining the limiting zero distribution of $$P_n$$ P n as $$\deg P_n \rightarrow \infty $$ deg P...

Asymptotic-Preserving Schemes for the Initial-Boundary Value Problem of Hyperbolic Relaxation Systems

Abstract. In this work, we present a numerical method for the initial-boundary value problem (IBVP) of first-order hyperbolic systems with source terms. The scheme directly solves the relaxation system using a relatively coarse mesh and captures the equilibrium behavior quite wel...

Non-take-up of unemployment benefit II in Germany: a longitudinal perspective using administrative data

Many households eligible for means-tested benefits do not claim them. While most empirical models of benefit non-take-up use only contemporaneous covariates, this paper links the German Panel Study Labour Market and Social Security to administrative records, which provide househo...

Coherent terahertz control of metastable magnetization in FePS3

Abstract Driving specific lattice modes with ultrafast stimuli offers a dynamic route for tailoring material properties out of equilibrium. However, achieving dynamic coherent control of the nonequilibrium phases via resonant excitation of lattice coherences remains largely unexp...

Antichains for Concurrent Parameterized Games

Concurrent parameterized games involve a fixed yet arbitrary number of players. They are described by finite arenas in which the edges are labeled with languages that describe the possible move combinations leading from one vertex to another (n players yield a word of length n)....

Rigidity of complete Kähler–Einstein metrics under cscK perturbations

In this paper, we study constant scalar curvature Kähler (cscK) metrics on complete non-compact Kähler–Einstein manifolds. We give sufficient conditions under which a cscK perturbation of a Kähler–Einstein metric must remain Kähler–Einstein. As a model case, we prove that the Ber...

A Transfer Learning Framework for Multilayer Networks via Model Averaging

Link prediction in multilayer networks is a key challenge in applications such as recommendation systems and protein-protein interaction prediction. While many techniques have been developed, most rely on assumptions about shared structures and require access to raw auxiliary dat...

Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents

Although LLMs have been widely adopted for creative content generation, a single-pass process often struggles to produce high-quality long narratives. How to effectively revise and improve long narrative scripts like scriptwriters remains a significant challenge, as it demands a...

Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time

We present an optimize-then-discretize framework for solving linear-quadratic optimal control problems (OCPs) governed by time-inhomogeneous ordinary differential equations. Our method employs a modified overlapping Schwarz decomposition based on the Pontryagin Minimum Principle,...

Resonance density range governs two-plasmon decay saturation and enables hot-electron prediction in inertial confinement fusion

The saturation level of parametric instabilities is critical in determining their impact on fusion plasmas. We identify the resonance density range of two-plasmon decay as the critical parameter governing nonlinear saturation of ion density fluctuations and Langmuir waves, which...

Limits to black-box amplification in QMA

We study the limitations of black-box amplification in the quantum complexity class Q M A . Amplification is known to boost any inverse-polynomial gap between completeness and soundness to exponentially small error, and a recent result (Jeffery and Witteveen, 2025) shows that com...

Faithful Universal Graphs for Minor-Closed Classes

Abstract. It was proved by Huynh et al. [ Universality in Minor-Closed Graph Classes, preprint, arXiv:2109.00327, 2021] that any countable graph containing every countable planar graph as a subgraph has an infinite clique minor. We prove a finite, quantitative version of this res...

A note on toric ideals of graphs and Knutson-Miller-Yong Decompositions

We use a Gröbner basis technique first introduced by Knutson, Miller and Yong to study the interplay between properties of a graph [Formula: see text] and algebraic properties of the toric ideal that it defines. We first recover a well-known height formula for the toric ideal of...

Fair distributed machine learning with imbalanced data as a Stackelberg evolutionary game

Abstract Decentralised machine learning systems trained on heterogeneous and imbalanced data face a fundamental tension between predictive performance and equitable contribution across participating nodes. Here, we introduce two contribution-weighting mechanisms inspired by the p...

A variable smoothing for weakly convex composite minimization with manifold constraint via parametrization

Abstract In this paper, we address a manifold constrained nonsmooth optimization problem involving the composition of a weakly convex function and a smooth mapping under the availability of a parametrization of the manifold. To find a stationary point of the target problem, we pr...

Advancing object-centric process mining with multi-dimensional data operations

Abstract Analyzing process data at varying levels of granularity is important to derive actionable insights and support informed decision-making. Object-Centric Event Data (OCED) enhance process mining by capturing interactions among events and multiple objects, leading to the di...

New quantitative unique continuation result for elliptic equations

We prove a new quantitative unique continuation result for elliptic equations from Cauchy data. We provide a simple and direct proof based only on a Carleman inequality. Similar result for the Stokes equation is also shown.

On Fourier asymptotics and effective equidistribution

Abstract We prove effective equidistribution of expanding horocycles in the space SL 2 ⁢ ( Z ) \ SL 2 ⁢ ( R ) \mathrm{SL}_{2}(\mathbb{Z})\backslash\mathrm{SL}_{2}(\mathbb{R}) with respect to various classes of Borel probability measures on ℝ having certain Fourier asymptotics. Ou...