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From the 1 of 11 linked papers with an AI index.

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10 papers

quant-ph2026

Efficient atom rearrangements for quantum error correction primitives with a single AOD

Tom Hartweg, Asier Piñeiro Orioli, Asier Piñeiro Orioli +2

The paper introduces efficient primitives for shearing, rotating, and reflecting 2D arrays of neutral atoms using a single dynamic crossed acousto‑optic deflector, dramatically red…

cond-mat.mtrl-sci2026

Bottlenecks in Hamiltonian-Adaptive Resolution Simulation Method for Modeling Interfaces

Hari Haran Sudhakar, Alessandra Serva, Rocio Semino

The Hamiltonian-Adaptive Resolution Simulation (H-AdResS) method allows to combine atomistic and particle-based coarse-grained models in a single simulation box, which makes it ver…

cond-mat.mtrl-sci2026

Machine Learning and Molecular Simulations Reveal Mechanisms of ZIFs Polymorph Selection

Emilio Méndez, Rocio Semino

Zn(imidazolate) metal-organic frameworks (MOFs) exhibit a remarkable degree of polymorphism. Because of their promising industrial applications, many research groups have inves…

stat.AP2026

Prior-Data Fitted Networks for Causal Inference: a Simulation Study with Real-World Scenarios

Francisco Mourao, David Hajage, Daria Bystrova +4

Prior-Data Fitted Networks (PFNs) represent a paradigm shift in tabular data prediction. We present the principles of this new paradigm and evaluate two PFNs for estimating the ave…

cs.CV2026

FrescoDiffusion: 4K Image-to-Video with Prior-Regularized Tiled Diffusion

Hugo Caselles-Dupré, Hugo Caselles-Dupré, Mathis Koroglu +3

Diffusion-based image-to-video (I2V) models are increasingly effective, yet they struggle to scale to ultra-high-resolution inputs (e.g., 4K). Generating videos at the model's nati…

stat.ME2026

Time Partitioning in Target Trial Emulation

Harold Tankpinou Zoumenou, Simon Ferreira, Charles Assaad +3

In target trial emulation, time partitioning enables researchers to handle time-varying confounders and immortal time bias with appropriate methods. Based on two clinical scenarios…