April 2025 arXiv papers — page 2
Showing 101–200 of 20,928 papers
Michele Tammaro, Jure Zupan
We provide an introduction to searches for axions and Axion-Like Particles (ALPs) at colliders. After covering the basics of collider physics, with a focus on production and detection of new particles, we give a rather broad introduction into searches for dark sectors at colliders. While our focus is on searches for light dark sectors, with the special empha
Twist Engineering of Anisotropic Excitonic and Optical Properties of a Two-Dimensional Magnetic Semiconductor
cond-mat.mes-hallQiuyang Li, Xiaohan Wan, Senlei Li, Adam Alfrey
Two dimensional (2D) van der Waals (vdW) magnetic semiconductors are a new class of quantum materials for studying the emergent physics of excitons and spins in the 2D limit. Twist engineering provides a powerful tool to manipulate the fundamental properties of 2D vdW materials. Here, we show that twist engineering of the anisotropic ferromagnetic monolayer
Zhenduo Shang, Thomas Blumensath
X-ray computed tomography is a powerful tool for volumetric imaging, but requires the collection of a large number of low-noise projection images, which is often too time consuming, limiting its applicability. In our previous work \cite{shang2023stereo}, we proposed a stereo X-ray tomography system to map the 3D position of fiducial markers using only two pr
Jongkuk Kim, Seong-Sik Kim, Hyun Min Lee, Rojalin Padhan
We consider the extension of the Standard Model with an inert scalar doublet, three right-handed neutrinos, and singlet scalar fields, $\varphi$ and $S$. In this model, neutrino masses are zero in the limit of the unbroken $Z_4$ discrete symmetry. We show that when the singlet scalar field $\varphi$ gets a VEV, the $Z_4$ symmetry is broken to $Z_2$, and neut
Adham Alkady, Anatoly B. Kuklov
Bose Einstein condensate of dark intervalley excitons must be inherently multi-component because of crystalline symmetries. Since valleys hosting such excitons are separated by large quasi-momenta, a minimal inter-component Josephson-type coupling can only be established between pairs of excitons from the time-reversed valleys. As a result, a paired condensa
N. Graham, H. Weigel
In field theory, domain walls are constructed by embedding localized field configurations varying in one space dimension, such as the $\phi^4$ kink, in two or three space dimensions. At the classical level, the kink mass straightforwardly turns into the energy per unit length or area, known as the domain wall tension. The quantum contribution to the tension
W. F. Kao
An $SU_2\times U_1$ scalar vector model with a scalar doublet $\varphi$ is reviewed for the study of possible magnetic monopole solution. An eigenvalue equation $\hat n^a \sigma^a \varphi_\pm =\pm \varphi_\pm$ is shown to induce a set of monopole solutions specified by the unit vector $\hat n$. It is shown clearly that monopole solution has to do with the ei
Interlayer Coupling-Induced Quantum Phase Transition in Quantum Anomalous Hall Multilayers
cond-mat.mes-hallLing-Jie Zhou, Deyi Zhuo, Ruobing Mei, Yi-Fan Zhao
A quantum phase transition arises from competition between different ground states and is typically accessed by varying a single physical parameter near absolute zero temperature. The quantum anomalous Hall (QAH) effect with high Chern number C has recently been achieved in magnetic topological insulator (TI) multilayers. In this work, we employ molecular be
Unnati Akhouri, Sarah Shandera, Jackson Henry
We design several examples of constrained, symmetric quantum circuit dynamics that generate non-equilibrium steady states. The qubit networks maintain local memory of the initial conditions and display inhomogeneous subsystem dynamics over long times, clearly distinguishable from approximately thermalizing networks of the same size. Each network can be descr
Sandrine Bédard, Jan Valošek, Valeria Oliva, Kenneth A. Weber
Spinal cord functional MRI studies require precise localization of spinal levels for reliable voxelwise group analyses. Traditional template-based registration of the spinal cord uses intervertebral discs for alignment. However, substantial anatomical variability across individuals exists between vertebral and spinal levels. This study proposes a novel regis
Silvana Yakhni, Ali Chehab
This paper examines the effectiveness of Large Language Models (LLMs) in translating the low-resource Lebanese dialect, focusing on the impact of culturally authentic data versus larger translated datasets. We compare three fine-tuning approaches: Basic, contrastive, and grammar-hint tuning, using open-source Aya23 models. Experiments reveal that models fine
Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons
stat.MEHarlan Campbell, Antonio Remiro-Azócar
Externally controlled single-arm trials are critical to assess treatment efficacy across therapeutic indications for which randomized controlled trials are not feasible. A closely-related research design, the unanchored indirect treatment comparison, is often required for disconnected treatment networks in health technology assessment. We present a unified c
Justin C. Feng, Shinji Mukohyama, Sante Carloni
Can one be fooled into thinking that space and time are fundamentally described by a Lorentzian manifold? In this article, we describe a scenario in which a theory constructed on a (Euclidean signature) Riemannian manifold can lead to degrees of freedom with Lorentzian dispersion relations, due to a nontrivial configuration of a scalar field. In particular,
Carmine Cesarano, Alessio Foggia, Gianluca Roscigno, Luca Andreani
This paper presents our experience, in the context of an industrial R&D project, on securing GENIO, a platform for edge computing on Passive Optical Network (PON) infrastructures, and based on Open-Source Software (OSS). We identify threats and related mitigations through hardening, vulnerability management, digital signatures, and static and dynamic analysi
Insung Kong, Juntong Chen, Sophie Langer, Johannes Schmidt-Hieber
We show that deep Heaviside networks (DHNs) have limited expressiveness but that this can be overcome by including either skip connections or neurons with linear activation. We provide lower and upper bounds for the Vapnik-Chervonenkis (VC) dimensions and approximation rates of these network classes. As an application, we derive statistical convergence rates
New Active Galactic Nuclei Detected by the ART-XC and eROSITA Telescopes during the First Five SRG All-Sky X-ray Surveys. Part 2
astro-ph.HEGrigory Uskov, Sergey Sazonov, Igor Zaznobin, Marat Gilfanov
We present the results of our identification of 11 X-ray sources detected on the half of the sky $0^\circ<l<180^\circ$ in the 4-12 keV energy band on the combined map of the first five all-sky surveys with the Mikhail Pavlinsky ART-XC telescope onboard the SRG observatory. All these sources were also detected by the SRG/eROSITA telescope in the 0.2-8 keV ene
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
cs.LGZuraiz Baig, Sidra Nasir, Rizwan Ahmed Khan, Muhammad Zeeshan Ul Haque
Cardiac arrhythmias are a leading cause of life-threatening cardiac events, highlighting the urgent need for accurate and timely detection. Electrocardiography (ECG) remains the clinical gold standard for arrhythmia diagnosis; however, manual interpretation is time-consuming, dependent on clinical expertise, and prone to human error. Although deep learning h
Tabaré Roland
Given an action $G \curvearrowright X$ of a discrete and countable infinite group $G$ on a compact and Hausdorff space $X$, we regard $\ell^1(G\curvearrowright X)$ as the Banach *-algebra crossed product associated to the action. We characterize topological freeness of the action by showing that it is equivalent to every nontrivial closed ideal of $\ell^1(G\
Rare Trajectories in a Prototypical Mean-field Disordered Model: Insights into Landscape and Instantons
cond-mat.dis-nnPatrick Charbonneau, Giampaolo Folena, Enrico M. Malatesta, Tommaso Rizzo
For disordered systems within the random first-order transition (RFOT) universality class, such as structural glasses and certain spin glasses, the role played by activated relaxation processes is rich to the point of perplexity. Over the last decades, various efforts have attempted to formalize and systematize such processes in terms of instantons similar t
Contemporary tensor network approaches to gapless and topological phases in an extended Bose-Hubbard ladder
cond-mat.quant-gasYuma Watanabe, Ravindra W. Chhajlany, Maciej Lewenstein, Tobias Graß
The development of numerically efficient computational methods has facilitated in depth studies of various correlated phases of matter including critical and topological phases. A quantum Monte-Carlo study of an extended Bose-Hubbard ladder has recently been used to identify an exotic phase with hidden order, where superfluid correlations coexist with string
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques
cs.IRNaamán Huerga-Pérez, Rubén Álvarez, Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez
Retrieval-Augmented Generation enhances language models by retrieving relevant information from external knowledge bases, relying on high-dimensional vector embeddings typically stored in float32 precision. However, storing these embeddings at scale presents significant memory challenges. To address this issue, we systematically investigate on MTEB benchmark
Investigating Opportunities for Growth and Increased Diversity in Quantum Information Science and Engineering Education in the U.S. based on an Analysis of the Current Educational Landscape
physics.ed-phA. R. Piña, Shams El-Adawy, Mike Verostek, H. J. Lewandowski
Quantum Information Science and Engineering (QISE) is rapidly gaining interest across a wide range of disciplines. As QISE continues to evolve, engineering will play an increasingly critical role in advancing quantum technologies. While efforts to characterize introductory QISE courses are underway, a comprehensive understanding of QISE education across the
Michael Osei, Arundhati Dasgupta
We discuss the effect of `Rindler like' transformation in superspace on the WKB wavefunction in cosmology. In the transformed frame we find the density matrix of the WKB wavefunction is mixed, and this is the sign of a thermal system. This background independent result does not have the same interpretations of a particle thermalization in accelerated frames.
Deepesh Singh, Ryan J. Marshman, Nathan Walk, Jens Eisert
Sampling experiments provide a viable route to show quantum advantages of quantum devices over classical computers in well-defined computational tasks. However, quantum devices such as boson samplers are susceptible to various errors, including stochastic errors due to fabrication imperfections. These cause the implemented unitary operations to deviate rando
From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
cs.LGBarak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh
Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a comprehensive framework -- what we believe to be the first capable of predicting instantaneous oxygen consumption (VO$_{2}$) trajectories exclusively from consumer-grade wearable data. O
Andreas Trautner
We discuss the recently discovered global $\textit{goofy}$ transformations and conclude that their understanding is mandatory to describe the renormalization group (RG) fixed point structure of quantum field theories (QFTs) in general. Originally, goofy transformations were identified in the two-Higgs-doublet model (2HDM), where their surprisingly RG stable
Xiaojun Yao
This is a theoretical overview of quarkonium production in relativistic heavy ion collisions given for the Hard Probes 2024 conference in Nagasaki. The talk focuses on the application of the open quantum system framework and the formulation of the chromoelectric correlator that uniquely encodes properties of the quark-gluon plasma relevant for quarkonium dyn
Nishita Jadoo, Terrence Pierre Jacques, Zachariah B. Etienne
Modern gravitational-wave science demands increasingly accurate and computationally intensive numerical relativity (NR) simulations. The Python-based, open-source NRPy framework generates optimized C/C++ code for NR, including the complete NR code BlackHoles@Home (BH@H), which leverages curvilinear coordinates well-suited to many astrophysical scenarios. His
Paolo Nason, Emanuele Re, Luca Rottoli
In this work we consider the QCD predictions for spin correlations in $t\bar{t}$ production in hadronic collisions. In view of recent tensions between experimental data and theoretical calculations, it has been argued that one should include in the predictions also the effects of the production of the $\eta_t$, i.e. the pseudoscalar $t\bar{t}$ bound state, o
Metallicity of Active Galactic Nuclei from ultraviolet and optical emission lines I: Carbon abundance dependence
astro-ph.GAO. L. Dors, C. B. Oliveira, M. V. Cardaci, G. F. Hägele
Metallicity ($Z$) estimates based on ultraviolet (UV) emission lines from the narrow-line regions (NLRs) of active galactic nuclei (AGNs) have been found to differ from those derived from optical lines. However, the origin of this discrepancy ($ZR$) remains poorly understood. To investigate the source of $ZR$, we compiled from the literature the fluxes of na
On Spectral Properties of Restricted Fractional Laplacians with Self-adjoint Boundary Conditions on a Finite Interval
math.SPJussi Behrndt, Markus Holzmann, Delio Mugnolo
We describe all self-adjoint realizations of the restricted fractional Laplacian $(-\Delta)^a$ with power $a \in (\frac{1}{2}, 1)$ on a bounded interval by imposing boundary conditions on the functions in the domain of a maximal realization; such conditions relate suitable weighted Dirichlet and Neumann traces. This is done in a systematic way by using the a
Chromatic Effects on the PSF and Shear Measurement for the Roman Space Telescope High-Latitude Wide Area Survey
astro-ph.COFederico Berlfein, Rachel Mandelbaum, Xiangchong Li, Tianqing Zhang
Weak gravitational lensing (WL) is a key cosmological probe that requires precise measurement of galaxy images to infer shape distortions, or shear, and constrain cosmology. Accurate estimation of the Point Spread Function (PSF) is crucial for shear measurement, but the wavelength dependence of the PSF introduces chromatic biases that can systematically impa
Tengchao Zhang, Yonglin Tian, Fei Lin, Jun Huang
With the increasing demand for heterogeneous Unmanned Aerial Vehicle (UAV) swarms to perform complex tasks in urban environments, system design now faces major challenges, including efficient semantic understanding, flexible task planning, and the ability to dynamically adjust coordination strategies in response to evolving environmental conditions and conti
Jayashree Narayan, Joanna Drazkowska, Vignesh Vaikundaraman
Pebble accretion is the leading theory for the formation of exoplanets more massive than the Earth. Many parameters influence planet growth in the pebble accretion models. In this paper, we study the influence of pebble fragmentation velocity, turbulence strength, stellar metallicity, stellar mass, and planet location on the growth of planets located within
Nonintegrability of time-periodic perturbations of analytically integrable systems near homo- and heteroclinic orbits
math.DSKazuyuki Yagasaki
We consider time-periodic perturbations of analytically integrable systems in the sense of Bogoyavlenskij and study their \emph{real-meromorphic} nonintegrability, using a generalized version due to Ayoul and Zung of the Morales-Ramis theory. The perturbation terms are assumed to have finite Fourier series in time, and the perturbed systems are rewritten as
Eric R. Anschuetz
We show a relation between quantum learning theory and algorithmic hardness. We use the existence of efficient, local learning algorithms for energy estimation -- such as the classical shadows algorithm -- to prove that finding near-ground states of disordered quantum systems exhibiting a certain topological property is impossible in the average case for Lip
Xu Yang, Brian Skinner
The quantum geometric tensor, which has the quantum metric and Berry curvature as its real and imaginary parts, plays a key role in the transport properties of condensed matter systems. In the nonlinear regime, the quantum metric dipole and Berry curvature dipole provide two distinct mechanisms for generating nonlinear Hall effects, which can both be experim
Josephson Diode Effect from Nonequilibrium Current in a Superconducting Interferometer
cond-mat.supr-conDaniel Shaffer, Songci Li, Jaglul Hasan, Mikhail Titov
We investigate the Josephson diode effect in a superconducting interferometer under nonequilibrium conditions. In contrast to its thermodynamic counterpart, which requires the simultaneous breaking of time-reversal and inversion symmetry, we demonstrate that a diode-like asymmetry of the critical current can emerge solely due to a dissipative current in the
Discovering the Dispersion of Gravitational Waves using Multi-Band Observation including Deci-Hertz: A Unique Probe to Cosmic Acceleration
gr-qcAdith Praveen, Panchajanya Dey, Suvodip Mukherjee
The dispersion in the speed of gravitational waves is a novel way to test the general theory of relativity and understand whether the origin of cosmic acceleration is due to any alternative theory of gravity. Several alternative theories of gravity predict dispersion in the gravitational wave signal in a frequency-dependent deviation from the speed of light
AT 2019aalc: a Bowen Fluorescence Flare With a Precursor Flare in an Active Galactic Nucleus
astro-ph.HEMarzena Śniegowska, Benny Trakhtenbrot, Lydia Makrygianni, Iair Arcavi
AT 2019aalc is a peculiar sequence of highly variable emission events observed towards the nucleus of the broad-line AGN SDSS J152416.66+045119.0. The system exhibited two distinct UV/optical flares (the first detected in 2019, the second one in 2023). Spectra obtained following the detection of the second flare revealed prominent Bowen fluorescence and high
Pau Figueras, Áron D. Kovács, Shunhui Yao
We study properties of a recently proposed regularisation scheme to formulate the initial value problem for general (relativistic) effective field theories (EFTs) with arbitrary higher order equations of motion. We consider a simple UV theory that describes a massive and a massless scalar degree of freedom. Integrating out the heavy field gives rise to an EF
J. Sears, Juntao Yao, Zhixiang Hu, Wei Tian
EuAuSb is a triangular-lattice Dirac semimetal in which a topological Hall effect has been observed to develop in association with a magnetically-ordered phase. Our single-crystal neutron diffraction measurements have identified an incommensurate helical order in which individual ferromagnetic Eu$^{2+}$ layers rotate in-plane by $\sim$120$^{\circ}$ from one
Dominika Ďurovčíková, Anna-Christina Eilers, Romain A. Meyer, Emanuele Paolo Farina
The existence of billion-solar-mass black holes hosted in luminous quasars within the first gigayear of cosmic history poses a challenge to our understanding of supermassive black hole (SMBH) growth. The problem is further exacerbated by the very short quasar lifetimes of $t_{\rm Q}\lesssim 10^6$ years, as derived from the extent of their proximity zone (PZ)
Jeffrey Giansiracusa, David Lanners, Tin Sulejmanpasic
We numerically study $\mathbb{Z}_N$ lattice gauge theories in 4D as prototypical models of systems with $\mathbb{Z}_N$ 1-$\textit{form symmetry}$. For $N \geq 3$, we provide evidence that such systems exhibit not only the expected phases with spontaneously broken/restored symmetry but also a third photon phase. When present, the 1-form symmetry provides a pr
Bhabani Sankar Tripathy, Nilmani Mathur, M. Padmanath
Hadrons, composed of quarks and gluons bound by Quantum Chromodynamics (QCD), traditionally classified as baryons (three quarks) and mesons (quark-antiquark pairs). Nothing in the theory of QCD stands against the existence of exotic hadrons with more complex quark contents. Recent discoveries by LHCb and Belle, such as X, Y, Z states and $T_{cc}(3875)$, have
Adrien Fiorucci, Simon Pekar, P. Marios Petropoulos, Matthieu Vilatte
We demonstrate that the BMS evolution equations for the mass and angular momentum aspects in asymptotically flat Einstein gravity follow from local Carroll, Weyl, and diffeomorphism invariance at the null conformal boundary, upon providing a minimalistic holographic dictionary as the sole input from the bulk. This result is a significant step in the quest fo
Caiyuan Ye, Yuzhi Wang, Xintian Xie, Tiannian Zhu
With the rapid advancement of AI technologies, generative models have been increasingly employed in the exploration of novel materials. By integrating traditional computational approaches such as density functional theory (DFT) and molecular dynamics (MD), existing generative models, including diffusion models and autoregressive models, have demonstrated rem
Josh Cork, Linden Disney-Hogg
We develop and prove new geometric and algebraic characterisations for locations of constituent skyrmions, as well as their signed multiplicity, using Sutcliffe's JNR ansatz. Some low charge examples, and their similarity to BPS monopoles, are discussed. In addition, we provide Julia code for the further numerical study and visualisation of JNR skyrmions.
Xu Yan, Ziyin Song, Juntao Song, Zhong Fang
Altermagnets, combining zero net magnetization with intrinsic spin splitting, demonstrate unique quantum phenomena crucial for spintronic applications. KV$_2$Se$_2$O is proven to be a d-wave altermagnet with phase transition from a checkerboard-type (C-type) antiferromagnetic (AFM) state to a spin density wave (SDW) state as the temperature decreases. After
Sebastian Leontica, Andrew G. Green
Matrix product states are useful representations for a large variety of naturally occurring quantum states. Studying their typical properties is important for understanding universal behavior, including quantum chaos and thermalization, as well as the limits of classical simulations of quantum devices. We show that the usual ensemble of sequentially generate
Mengdie Zhang, Yu-Zhe Liu, Chao Zhang
Let $A$ be a gentle algebra, and $B$ and $C$ be its BD-gentle algebra and CM-Auslander algebra, respectively. In this paper, we show that the representation-finiteness of $A$, $B$ and $C$ coincide and the representation-discreteness of $A$, $B$ and $C$ coincide.
Detailed Simulations of Massive Hierarchical Triple Star Systems - Exploring the impact of the stellar physics on the evolutionary pathways of massive hierarchical triple systems
astro-ph.SRLuca Sciarini, Sylvia Ekström, Floris Kummer, Steven Rieder
Recent observations estimate that 30% of early B and O-type stars are found in triple systems. So far, the evolution of triple star systems has mainly been modeled using fast stellar codes. Their accuracy decreases with increasing mass, limiting their reliability for predicting the evolutionary pathways of massive triple systems. We coupled Tres, which by de
Nadie Yiluo LiTenn, Tianci Zhou, Brian Swingle
We study how probes of quantum scrambling dynamics respond to two kinds of imperfections -- unequal forward and backward evolutions and decoherence -- in a solvable Brownian circuit model. We calculate a ``renormalized'' out-of-time-order correlator (ROTOC) in the model with $N$ qubits, and we show that the circuit-averaged ROTOC is controlled by an effectiv
Jonathan Schirmer, Enrico Rossi
In this work, we obtain the expression, within the linear response approximation, that allows the direct calculation of the superfluid weight for strongly inhomogeneous superconductors. Using this expression, we find that, in general, the correction to the superfluid weight due to the response of the superconductor's pairing potential to the perturbing vecto
Yanxuan Shao, Jean-Regis Angilella, Adilson Motter
Incompressible fluids in microfluidic networks with non-rigid channels can exhibit flow rate oscillations analogous to electric current oscillations in RLC circuits. This is due to the elastic deformation of channel walls that can store and release fluid, as electric capacitors can store and release electric charges. This property is quantified through the c
Haoyu Guo, Debanjan Chowdhury
Metals at the brink of electronic quantum phase transitions display high-temperature superconductivity, competing orders, and unconventional charge transport, revealing strong departures from conventional Fermi liquid behavior. Investigation of these fascinating intertwined phenomena has been at the center of research across a variety of correlated materials
Hao Geng, Lisa Randall
It has been argued that the existence of a geodesic shortcut in the Karch-Randall (KR) braneworld rules out the possibility for a low-energy intermediate theory, even when gravity is turned off. We study this problem in an explicit example with two symmetrically placed KR branes. We find that there can be a consistent quantization of bulk matter fields with
Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen
In recent years, video generation has seen significant advancements. However, challenges still persist in generating complex motions and interactions. To address these challenges, we introduce ReVision, a plug-and-play framework that explicitly integrates parameterized 3D model knowledge into a pretrained conditional video generation model, significantly enh
SPARO: Surface-code Pauli-based Architectural Resource Optimization for Fault-tolerant Quantum Computing
quant-phShuwen Kan, Zefan Du, Chenxu Liu, Meng Wang
Surface codes represent a leading approach for quantum error correction (QEC), offering a path towards universal fault-tolerant quantum computing (FTQC). However, efficiently implementing algorithms, particularly using Pauli-based computation (PBC) with lattice surgery, necessitates careful resource optimization. Prior work often employs static layouts and s
Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu
Interactive Generative Video (IGV) has emerged as a crucial technology in response to the growing demand for high-quality, interactive video content across various domains. In this paper, we define IGV as a technology that combines generative capabilities to produce diverse high-quality video content with interactive features that enable user engagement thro
Polka-dotted Stars: a Hierarchical Model for Mapping Stellar Surfaces Using Occultation Light Curves and the Case of TOI-3884
astro-ph.EPSabina Sagynbayeva, Will M. Farr, Brett Morris, Rodrigo Luger
We present StarryStarryProcess, a novel hierarchical Bayesian framework for mapping stellar surfaces using exoplanet transit light curves. While previous methods relied solely on stellar rotational light curves -- which contain limited information about spot properties -- our approach leverages planetary transits as probes of stellar surfaces. When a planet
Sichang Tu, Abigail Powers, Stephen Doogan, Jinho D. Choi
Objectives: While Large Language Models (LLMs) have been widely used to assist clinicians and support patients, no existing work has explored dialogue systems for standard diagnostic interviews and assessments. This study aims to bridge the gap in mental healthcare accessibility by developing an LLM-powered dialogue system that replicates clinician behavior.
Erasure Minesweeper: exploring hybrid-erasure surface code architectures for efficient quantum error correction
quant-phJason D. Chadwick, Mariesa H. Teo, Joshua Viszlai, Willers Yang
Dual-rail erasure qubits can substantially improve the efficiency of quantum error correction, allowing lower error rates to be achieved with fewer qubits, but each erasure qubit requires $3\times$ more transmons to implement compared to standard qubits. In this work, we introduce a hybrid-erasure architecture for surface code error correction where a carefu
Justin B. Bullock, Janet V. T. Pauketat, Hsini Huang, Yi-Fan Wang
Governance institutions must respond to societal risks, including those posed by generative AI. This study empirically examines how public trust in institutions and AI technologies, along with perceived risks, shape preferences for AI regulation. Using the nationally representative 2023 Artificial Intelligence, Morality, and Sentience (AIMS) survey, we asses
Atoosa Kasirzadeh, Iason Gabriel
The creation of effective governance mechanisms for AI agents requires a deeper understanding of their core properties and how these properties relate to questions surrounding the deployment and operation of agents in the world. This paper provides a characterization of AI agents that focuses on four dimensions: autonomy, efficacy, goal complexity, and gener
Derong Jin, Ruohan Gao
An immersive acoustic experience enabled by spatial audio is just as crucial as the visual aspect in creating realistic virtual environments. However, existing methods for room impulse response estimation rely either on data-demanding learning-based models or computationally expensive physics-based modeling. In this work, we introduce Audio-Visual Differenti
Hadleigh Schwartz, Xiaofeng Yan, Charles J. Carver, Xia Zhou
High-profile speech videos are prime targets for falsification, owing to their accessibility and influence. This work proposes VeriLight, a low-overhead and unobtrusive system for protecting speech videos from visual manipulations of speaker identity and lip and facial motion. Unlike the predominant purely digital falsification detection methods, VeriLight c
Jefrin Sharmitha Prabhu, Abhinav Vaishya, Shobhit Bhatnagar, Aryaman Manish Kolhe
The problem of recovering from qubit erasures has recently gained attention as erasures occur in many physical systems such as photonic systems, trapped ions, superconducting qubits and circuit quantum electrodynamics. While several linear-time decoders for error correction are known, their error-correcting capability is limited to half the minimum distance
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
physics.data-anWilliam Sutcliffe, Marta Calvi, Simone Capelli, Jonas Eschle
The growing luminosity frontier at the Large Hadron Collider is challenging the reconstruction and analysis of particle collision events. Increased particle multiplicities are straining latency and storage requirements at the data acquisition stage, while new complications are emerging, including higher background levels and more frequent particle vertex mis
H. A. Adarsha, Chandrachur Chakraborty, Sudip Bhattacharyya
Sub-solar mass black holes could show up in gravitational wave observations in future and near-solar mass black holes might have been involved in the events GW190425 and GW190814. Since they cannot form from the stellar evolution, their creation requires exotic mechanisms. One such mechanism involves the capture of dark matter particles by stellar objects an
Cryptography without Long-Term Quantum Memory and Global Entanglement: Classical Setups for One-Time Programs, Copy Protection, and Stateful Obfuscation
quant-phLev Stambler
We show how oracles which only allow for classical query access can be used to construct a variety of quantum cryptographic primitives which do not require long-term quantum memory or global entanglement. Specifically, if a quantum party can execute a semi-quantum token scheme (Shmueli 2022) with probability of success $1/2 + \delta$, we can build powerful c
Neuro-Symbolic Generation of Explanations for Robot Policies with Weighted Signal Temporal Logic
cs.ROMikihisa Yuasa, Ramavarapu S. Sreenivas, Huy T. Tran
Neural network-based policies have demonstrated success in many robotic applications, but often lack human-explanability, which poses challenges in safety-critical deployments. To address this, we propose a neuro-symbolic explanation framework that generates a weighted signal temporal logic (wSTL) specification to describe a robot policy in a interpretable f
Franc O, Pavlos Protopapas, Dominic W. Pesce, Angelo Ricarte
Using very long baseline interferometry, the Event Horizon Telescope (EHT) collaboration has resolved the shadows of two supermassive black holes. Model comparison is traditionally performed in image space, where imaging algorithms introduce uncertainties in the recovered structure. Here, we develop a deep learning framework to perform parameter inference in
Comment on 'Anomalies in the Electronic Stopping of Slow Antiprotons in LiF', arXiv:2501.14381
cond-mat.otherG. Schiwietz, P. L. Grande
This work contains detailed discussions on the contents of Phys. Rev. Lett. 134, 076401 (2025), in the following denoted PRL134. In this comment, we revisit and elaborate on the Adiabatic Ionization Model (AIM) for the energy loss of antiparticles in matter, with particular reference to its theoretical foundation as established previously. The AIM framework
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins
The development of powerful user representations is a key factor in the success of recommender systems (RecSys). Online platforms employ a range of RecSys techniques to personalize user experience across diverse in-app surfaces. User representations are often learned individually through user's historical interactions within each surface and user representat
TRIMEG-GKX: an electromagnetic gyrokinetic particle code with a Piecewise Field-Aligned Finite Element Method for Micro- and Macro-Instability Studies in Tokamak Core Plasmas
physics.plasm-phZhixin Lu, Guo Meng, Roman Hatzky, Philipp Lauber
The features of the TRIMEG-GKX code are described with emphasis on the exploration using novel/different schemes compared to other gyrokinetic codes, particularly the use of object-oriented programming, filter/buffer-free treatment, and a high-order piecewise field-aligned finite element method. The TRIMEG-GKX code solves the electromagnetic gyrokinetic equa
Ipek Oztas, Duygu Ceylan, Aysegul Dundar
With the growing success of text or image guided 3D generators, users demand more control over the generation process, appearance stylization being one of them. Given a reference image, this requires adapting the appearance of a generated 3D asset to reflect the visual style of the reference while maintaining visual consistency from multiple viewpoints. To t
Eberhard Bänsch, Pedro Morin, Itatí Zocola
A novel variant of the \emph{residual-free bubble} method (RFB) for advection dominated problems is presented. Since the usual RFB still suffers from oscillations and strong under/overshoots, the bubble space is enriched by \emph{patch bubbles}, giving more freedom to the bubble space. We use a recursive and efficient approach to accurately compute the bubbl
Abraham del Valle Rodríguez
In 2002, it was conjectured that a free divisor satisfying the so-called Logarithmic Comparison Theorem (LCT) must be strongly Euler-homogeneous. Today, it is known to be true only in ambient dimension less or equal than three or assuming Koszul-freeness. Thanks to our advances in the comprehension of strong Euler-homogeneity, we are able to prove the conjec
Ángel Ballesteros, Romina Ramírez, Marta Reboiro
In this work, we introduce a PT-symmetric infinite-dimensional representation of the Uz(sl(2,R)) Hopf algebra, and we analyse a multiparametric family of Hamiltonians constructed from such representation of the generators of this non-standard quantum algebra. It is shown that all these Hamiltonians can be mapped to equivalent systems endowed with a position-
Mohammad Khajenejad
This paper presents an optimal dynamic control framework for bounded Jacobian nonlinear discrete-time (DT) systems with nonlinear observations affected by both state and process noise. Rather than directly stabilizing the uncertain system, we focus on stabilizing an interval observer in a higher dimensional space, whose states bound the true system states. O
Anas Anwarul Haq Khan, Utkarsh Verma, Ganesh Ramakrishnan
We introduce DEEVISum (Distilled Early Exit Vision language model for Summarization), a lightweight, efficient, and scalable vision language model designed for segment wise video summarization. Leveraging multi modal prompts that combine textual and audio derived signals, DEEVISum incorporates Multi Stage Knowledge Distillation (MSKD) and Early Exit (EE) to
Existence of Large Boundary Layer Solutions to Inflow Problem of 1D Full Compressible Navier-Stokes Equations
math.APYi Wang, Yong-Fu Yang, Qiuyang Yu
We present the existence/non-existence criteria for large-amplitude boundary layer solutions to the inflow problem of the one-dimensional (1D) full compressible Navier-Stokes equations on a half line $\mathbb{R}_+$. Instead of the classical center manifold approach for the existence of small-amplitude boundary layer solutions in the previous results, the del
On strong Euler-homogeneity and Saito-holonomicity for complex hypersurfaces. Applications to a conjecture on free divisors
math.AGAbraham del Valle Rodríguez
We first develop some criteria for a general divisor to be strongly Euler-homogeneous in terms of the Fitting ideals of certain modules. We also study new variants of Saito-holonomicity, generalizing Koszul-free type properties and characterizing them in terms of the same Fitting ideals. Thanks to these advances, we are able to make progress in the understan
A Path to Quantum Simulations of Topological Phases: (2+1)D Quantum Electrodynamics with Wilson Fermions
hep-latSriram Bharadwaj, Emil Rosanowski, Simran Singh, Alice di Tucci
Quantum simulation offers a powerful approach to studying quantum field theories, particularly (2+1)D quantum electrodynamics (QED$_3$) with Wilson fermions, which hosts a rich landscape of physical phenomena. A key challenge in lattice formulations is the proper realization of topological phases and the Chern-Simons terms, where fermion discretization plays
Beam Optics Ramping in Under-Constrained Lattice Design: Application to Electron-Ion Collider Hadron Storage Ring Cooling Section
physics.acc-phDerong Xu
This paper presents the lattice design and optics ramping strategy for the cooling section of the Hadron Storage Ring (HSR) at the Electron-Ion Collider (EIC). The main challenge is that available tuning knobs exceed beam-optics constraints. Independently optimized injection and top-energy optics often yield disconnected solutions, making interpolation impos
An Underwater, Fault-Tolerant, Laser-Aided Robotic Multi-Modal Dense SLAM System for Continuous Underwater In-Situ Observation
cs.ROYaming Ou, Junfeng Fan, Chao Zhou, Pengju Zhang
Existing underwater SLAM systems are difficult to work effectively in texture-sparse and geometrically degraded underwater environments, resulting in intermittent tracking and sparse mapping. Therefore, we present Water-DSLAM, a novel laser-aided multi-sensor fusion system that can achieve uninterrupted, fault-tolerant dense SLAM capable of continuous in-sit
Rovibrational computation of H$_3^+$ with permutationally invariant Pekeris coordinates
physics.chem-phGustavo Avila, Edit Mátyus
The Pekeris coordinates provide a permutationally invariant set of coordinates for H$_3^+$. They are defined as linear combinations of the three internuclear distances that automatically fulfil the triangle inequality for all non-negative coordinate values. In this work, we test three discrete variable representations (DVR) for tightly converging the rovibra
Divyansh Agrawal, Gaik Ambartsoumian, Venkateswaran P. Krishnan, Nisha Singhal
The paper presents a new and simple range characterization for the spherical mean transform of functions supported in the unit ball in even dimensions. It complements the previous work of the same authors, where they solved an analogous problem in odd dimensions. The range description in even dimensions consists of symmetry relations, using a special kind of
Md Fahim Anjum
Large Language Models (LLM) with reasoning capabilities offer a promising path for improving candidate evaluation in planning frameworks, but their relative performance against traditional non-reasoning models remains largely underexplored. In this study, we benchmark a distilled 1.5B parameter reasoning model (DeepSeek-R1) against several state-of-the-art n
L. Monaco, E. Caffau, P. Molaro, P. Bonifacio
Aims. The metal-poor star BPM 3066 belongs to the retrograde halo and presents unexpectedly strong spectral features of lithium. To gain insight into the origin of this peculiar abundance, we investigate the chemistry and kinematic properties of this star. Methods. We performed a local thermodynamic equilibrium chemical abundance analysis of UVES/VLT high-re
On the difficulty of capturing the distribution function of neutrinos in neutron star merger simulations
astro-ph.HEFrancois Foucart
The collision of two neutron stars is a rich source of information about nuclear physics. In particular, the kilonova signal following a merger can help us elucidate the role of neutron stars in nucleosynthesis, and informs us about the properties of matter above nuclear saturation. Approximate modeling of neutrinos remains an important limitation to our abi
Ewan Davies, Evelyne Smith-Roberge
Thomassen showed that planar graphs are 5-list-colourable, and that planar graphs of girth at least five are 3-list-colourable. An easy degeneracy argument shows that planar graphs of girth at least four are 4-list-colourable. In 2022, Postle and Smith-Roberge proved a common strengthening of these three results: with $g(v)$ denoting the length of a shortest
Two lock-in amplifiers based $3\omega$ technique: a practical guide for thermal conductivity experiments in bulk samples
cond-mat.mtrl-sciAlexandre Henriques, Murilo Santoma, Steffen Wirth, Julio Larrea Jiménez
The accurate determination of thermal conductivity $\kappa(T)$ in bulk materials at room temperature and above is crucial for evaluating their compatibility for specific applications. The 3$\omega$ technique is an established methodology for studying the thermal conductivity of thin films, becoming particularly suitable in the case of bulk specimens for $T\g
Gianandrea Lanzara, Matteo Santacesaria
Are there multiple equilibria in the spatial economy? This paper develops a unified framework that integrates systems of cities and regional models to address this question within a general geographic space. A key feature is the endogenous formation of commuting areas linking a continuum of residential locations to a finite set of potential business district
Lineage topology, replication kinetics and cell cycle synchronization reveal regulated growth dynamics in human bone marrow stromal cell colonies
q-bio.CBAlessandro Allegrezza, Riccardo Beschi, Domenico Caudo, Andrea Cavagna
Bone marrow stromal cells (BMSC) -- which include skeletal stem cells -- are a promising tool in regenerative medicine. However, their heterogeneous and unpredictable in vivo behaviour remains a critical barrier preventing the development of standardized therapeutic approaches for skeletal tissue regeneration. Several studies have attempted to identify in vi
Peter D. Johannsen, Henry F. Legg, Stefano Bosco, Daniel Loss
We consider hybrid systems consisting of a hole-doped semiconductor coupled to electronic states of finite-size superconductors, where the opposite sign of the masses in the two subsystems give rise to insulating gaps at subband anticrossings. Consequently, increasing the coupling strength to the superconductor can paradoxically suppress the proximity-induce
Sakshi Dang, Sudhir R. Ghorpade
Affine Cartesian codes were first discussed by Geil and Thomsen in 2013 in a broader framework and were formally introduced by L\'opez, Renter\'ia-M\'arquez and Villarreal in 2014. These are linear error-correcting codes obtained by evaluating polynomials at points of a Cartesian product of subsets of the given finite field. They can be viewed as a vast gene
From Aesthetics to Human Preferences: Comparative Perspectives of Evaluating Text-to-Music Systems
eess.ASHuan Zhang, Jinhua Liang, Huy Phan, Wenwu Wang
Evaluating generative models remains a fundamental challenge, particularly when the goal is to reflect human preferences. In this paper, we use music generation as a case study to investigate the gap between automatic evaluation metrics and human preferences. We conduct comparative experiments across five state-of-the-art music generation approaches, assessi
Yixin Gao, Xiaohan Pan, Xin Li, Zhibo Chen
The rapid development of AIGC foundation models has revolutionized the paradigm of image compression, which paves the way for the abandonment of most pixel-level transform and coding, compelling us to ask: why compress what you can generate if the AIGC foundation model is powerful enough to faithfully generate intricate structure and fine-grained details fro