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🔍 wael halbawi
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Physics Preprint PDF DOI

Domain-wall melting in all-to-all QSSEP from random-matrix theory

Denis Bernard, Lorenzo Piroli, Stefano Scopa · 2026

We study the melting of a domain wall in the quantum simple exclusion process with all-to-all hoppings (a.k.a. the charged SYK$_2$ model). We show that the real-time dynamics of physical quantities of…

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Physics Preprint PDF DOI

Quantum Lattice Boltzmann Solutions for Transport under 3D Spatially Varying Advection on Trapped Ion Hardware

Sayonee Ray, Jezer Jojo, Jason Iaconis, Abeynaya Gnanasekaran, Apurva Tiwari, Martin Roetteler, Chris Hill, Jay Pathak · 2026

The Quantum Lattice Boltzmann Method (QLBM) has emerged as one of the most promising quantum computing approaches for the numerical simulation of problems in computational fluid dynamics (CFD). The dy…

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Physics Preprint PDF DOI

Towards High Performance Quantum Computing (HPQ): Parallelisation of the Hamiltonian Auto Decomposition Optimisation Framework (HADOF)

Namasi G Sankar, Georgios Miliotis, Simon Caton · 2026

Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisation algorithms for c…

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Engineering Preprint PDF DOI

Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez · 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entiti…

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Computer Science Preprint PDF DOI

Variational and Majorization Principles in Lattice Reduction

Javier Blanco-Romero, Florina Almenares Mendoza · 2026

Lattice reduction smooths the Gram-Schmidt profile, and we use majorization to describe the local swap mechanism behind that smoothing. In this language, each non-degenerate Lov\'asz swap acts as a T-…

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Computer Science Preprint PDF DOI

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He · 2026

Large language model (LLM)-based generative list-wise recommendation has advanced rapidly, but decoding remains sequential and thus latency-prone. To accelerate inference without changing the target d…

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Physics Preprint PDF DOI

Emergent electric fields driven by phonon-coupled skyrmion resonances

Seno Aji · 2026

We develop a coarse-grained theoretical description of the macroscopic emergent electric field generated by phonon-coupled lattice deformations in the breathing and rotational dynamics of a skyrmion l…

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Physics Preprint PDF DOI

Electroweak Baryogenesis from Collapsing Domain Walls

Yang Bai, Kun-Feng Lyu, Yue Zhao · 2026

We propose a novel mechanism for electroweak baryogenesis in which collapsing domain walls formed by an axion-like field replace the bubble walls in a strong first-order electroweak phase transition. …

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Physics Preprint PDF DOI

Phase-Transition Induced Domain Evolution and Magnetization Dynamics in FePt/FeRh Bilayers for Efficient Heat-Assisted Magnetic Recording

Saroj K. Mishra, Y. Sasaki, S. Isogami, I. Suzuki, Keerthana P, J. Mohanty, Y. K. Takahashi · 2026

Achieving ultrahigh recording densities with low power consumption is a central challenge for next generation heat assisted magnetic recording (HAMR), as conventional L10 FePt media require intense la…

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Computer Science Preprint PDF DOI

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen · 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal pre…

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AI & Data Science Preprint PDF DOI

Analytical Correction for Subsampling Bias in Drifting Models

Jiaru Zhang, Zeyun Deng, Juanwu Lu, Ziran Wang, Ruqi Zhang · 2026

Drifting models are capable one-step generative models trained to follow a drifting field. The field combines attractive and repulsive softmax-weighted centroids over the data and current-generator di…

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Mathematics Preprint PDF DOI

Anchored Peskin Problem

Achyuta Telekicherla Kandalam, Daniel Spirn · 2026

The Immersed Boundary Method has long served as a robust computational framework for fluid-structure interactions, yet the rigorous analysis of 1D Peskin filaments anchored to rigid boundaries remains…

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Engineering Preprint PDF DOI

A Two Stage Pipeline for Left Atrial Wall Constrained Scar Segmentation and Localization from LGE-MR Images

Bipasha Kundu, Cristian Linte · 2026

Accurate segmentation and localization of left atrial (LA) ablation scars from Late gadolinium enhancement (LGE)-MRI is essential for assessing the lesion completeness and guiding ablation therapy. In…

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Mathematics Preprint PDF DOI

Learning Over-Relaxation Policies for ADMM with Convergence Guarantees

Junan Lin, Paul J. Goulart, Luca Furieri · 2026

The Alternating Direction Method of Multipliers (ADMM) is a widely used method for structured convex optimization, and its practical performance depends strongly on the choice of penalty and relaxatio…

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AI & Data Science Preprint PDF DOI

Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging

Zhaoyuan Cai, Xinglin Zhang · 2026

Federated Unlearning (FU) is an emerging paradigm in Federated Learning (FL) that enables participating clients to fully remove their contributions from a trained global model, driven by data protecti…

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Physics Preprint PDF DOI

A positive definite formulation of vacuum decay with reduced symmetry

Jose R. Espinosa, Ryusuke Jinno, Thomas Konstandin, Shogo Matake, Taiga Miyachi · 2026

The Euclidean bounce for vacuum decay enjoys an $O(4)$ symmetry that is lost in the presence of impurities than can catalyze the decay. We present a formulation for the calculation of the tunneling de…

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Computer Science Preprint PDF DOI

COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training

Akhmed Sakip, Erland Hilman Fuadi, Omar Sayedelahl, Zonghang Li, Jianshu She, Alham Fikri Aji, Steve Liu, Eric Xing, Qirong Ho · 2026

Training large language models requires jointly configuring two interdependent aspects of the system: the global batch size, which governs statistical efficiency, and the 3D parallelism strategy, whic…

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Physics Preprint PDF DOI

Programmable superconducting diode from nematic domain control in FeSe

R. D. H. Hinlopen, C. Putzke, L. Holeschovsky, R. Nicholls, F. Ronning, E. D. Bauer, N. E. Hussey, P. J. W. Moll · 2026

The superconducting diode effect (SDE) allows polarity-dependent critical currents when time-reversal and current-inverting spatial symmetries are broken. Superconducting diodes show promise for appli…

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Physics Preprint PDF DOI

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence

Sunan Zhao, Yunpeng Wang, Huiyu Yang, Zhihong Guo, Jianchun Wang · 2026

Accurate and efficient prediction of three-dimensional (3D) wall-bounded turbulent flows poses a significant challenge for machine learning methods, particularly in scenarios where flow field data are…

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Physics Preprint PDF DOI

Large magnetoresistance and weak-antilocalization in the nodal-line semimetal VP2

Chunxiang Wu, Shuijin Chen, Tingyu Zhou, Le Liu, Xin Peng, Jianjian Jia, Xinyu Yu, Hangdong Wang, Jinhu Yang, Jianhua Du, Minghu Fang · 2026

After growing successfully high quality VP$_2$ single crystals, we studied systematically their longitudinal $\rho_{xx}(T)$ and Hall resistivity $\rho_{yx}(T)$ at various magnetic fields, combining th…

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