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arXiv preprints from January 1, 2026 through September 27, 2026 — 15:07:53 EST

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Posted in quant-ph · 2026-01-04 · Aleksey Lunkin, Nicole S. Ticea, Shashwat Kumar, Connie Miao, Jaehong Choi, Mohammed Alghadeer, Ilya Drozdov, Dmitry Abanin, Amira Abbas, Rajeev Acharya, Laleh Beni, Georg Aigeldinger, Ross Alcaraz, Sayra Alcaraz, Markus Ansmann, Frank Arute, Kunal Arya, Walt Askew, Nikita Astrakhantsev, Juan Atalaya, Ryan Babbush, Brian Ballard, Joseph C. Bardin, Hector Bates, Andreas Bengtsson, Majid Karimi, Alexander Bilmes, Simon Bilodeau, Felix Borjans, Alexandre Bourassa, Jenna Bovaird, Dylan Bowers, Leon Brill, Peter Brooks, Michael Broughton, David A. Browne, Brett Buchea, Bob B. Buckley, Tim Burger, Brian Burkett, Nicholas Bushnell, Jamal Busnaina, Anthony Cabrera, Juan Campero, Hung-Shen Chang, Silas Chen, Zijun Chen, Ben Chiaro, Liang-Ying Chih, Agnetta Y. Cleland, Bryan Cochrane, Matt Cockrell, Josh Cogan, Paul Conner, Harold Cook, Rodrigo G. Cortiñas, William Courtney, Alexander L. Crook, Ben Curtin, Martin Damyanov, Sayan Das, Dripto M. Debroy, Sean Demura, Paul Donohoe, Andrew Dunsworth, Valerie Ehimhen, Alec Eickbusch, Aviv Moshe Elbag, Lior Ella, Mahmoud Elzouka, David Enriquez, Catherine Erickson, Lara Faoro, Vinicius S. Ferreira, Marcos Flores, Leslie Burgos, Sam Fontes, Ebrahim Forati, Jeremiah Ford, Brooks Foxen, Masaya Fukami, Alan Wing Fung, Lenny Fuste, Suhas Ganjam, Gonzalo Garcia, Christopher Garrick, Robert Gasca, Helge Gehring, Robert Geiger, William Giang, Dar Gilboa, James E. Goeders, Edward C. Gonzales, Raja Gosula, Stijn J. Graaf, Alejandro Dau, Dietrich Graumann, Joel Grebel, Alex Greene, Jonathan A. Gross, Jose Guerrero, Loïck Guevel, Tan Ha, Steve Habegger, Tanner Hadick, Ali Hadjikhani, Michael C. Hamilton, Monica Hansen, Matthew P. Harrigan, Sean D. Harrington, Jeanne Hartshorn, Stephen Heslin, Paula Heu, Oscar Higgott, Reno Hiltermann, Jeremy Hilton, Hsin-Yuan Huang, Mike Hucka, Christopher Hudspeth, Ashley Huff, William J. Huggins, Evan Jeffrey, Shaun Jevons, Zhang Jiang, Xiaoxuan Jin, Cody Jones, Chaitali Joshi, Pavol Juhas, Andreas Kabel, Dvir Kafri, Hui Kang, Kiseo Kang, Amir H. Karamlou, Ryan Kaufman, Kostyantyn Kechedzhi, Julian Kelly, Tanuj Khattar, Mostafa Khezri, Seon Kim, Paul V. Klimov, Can M. Knaut, Bryce Kobrin, Alexander N. Korotkov, Fedor Kostritsa, John Mark Kreikebaum, Ryuho Kudo, Ben Kueffler, Arun Kumar, Vladislav D. Kurilovich, Vitali Kutsko, Tiano Lange-Dei, Brandon W. Langley, Pavel Laptev, Kim-Ming Lau, Emma Leavell, Justin Ledford, Joonho Lee, Joy Lee, Kenny Lee, Brian J. Lester, Wendy Leung, Lily Li, Wing Yan Li, Ming Li, Alexander T. Lill, William P. Livingston, Matthew T. Lloyd, Laura Lorenzo, Erik Lucero, Daniel Lundahl, Aaron Lunt, Sid Madhuk, Aniket Maiti, Ashley Maloney, Salvatore Mandrà, Leigh S. Martin, Orion Martin, Eric Mascot, Paul Das, Dmitri Maslov, Melvin Mathews, Cameron Maxfield, Jarrod R. McClean, Matt McEwen, Seneca Meeks, Anthony Megrant, Kevin C. Miao, Zlatko K. Minev, Reza Molavi, Sebastian Molina, Shirin Montazeri, Charles Neill, Michael Newman, Anthony Nguyen, Murray Nguyen, Chia-Hung Ni, Murphy Yuezhen Niu, Logan Oas, William D. Oliver, Raymond Orosco, Kristoffer Ottosson, Alice Pagano, Agustin Paolo, Sherman Peek, David Peterson, Alex Pizzuto, Elias Portoles, Rebecca Potter, Orion Pritchard, Michael Qian, Chris Quintana, Ganesh Ramachandran, Arpit Ranadive, Matthew J. Reagor, Rachel Resnick, David M. Rhodes, Daniel Riley, Gabrielle Roberts, Roberto Rodriguez, Emma Ropes, Lucia B. Rose, Eliott Rosenberg, Emma Rosenfeld, Dario Rosenstock, Elizabeth Rossi, David A. Rower, Robert Salazar, Kannan Sankaragomathi, Murat Can Sarihan, Kevin J. Satzinger, Max Schaefer, Sebastian Schroeder, Henry F. Schurkus, Aria Shahingohar, Michael J. Shearn, Aaron Shorter, Vladimir Shvarts, Volodymyr Sivak, Spencer Small, W. Clarke Smith, David A. Sobel, Barrett Spells, Sofia Springer, George Sterling, Jordan Suchard, Aaron Szasz, Alexander Sztein, Madeline Taylor, Jothi Priyanka Thiruraman, Douglas Thor, Dogan Timucin, Eifu Tomita, Alfredo Torres, M. Mert Torunbalci, Hao Tran, Abeer Vaishnav, Justin Vargas, Sergey Vdovichev, Guifre Vidal, Benjamin Villalonga, Catherine Heidweiller, Meghan Voorhees, Steven Waltman, Jonathan Waltz, Shannon X. Wang, Brayden Ware, James D. Watson, Yonghua Wei, Travis Weidel, Theodore White, Kristi Wong, Bryan W. Woo, Christopher J. Wood, Maddy Woodson, Cheng Xing, Z. Jamie Yao, Ping Yeh, Bicheng Ying, Juhwan Yoo, Noureldin Yosri, Elliot Young, Grayson Young, Adam Zalcman, Ran Zhang, Yaxing Zhang, Ningfeng Zhu, Nicholas Zobrist, Zhenjie Zou, Sergio Boixo, Hartmut Neven, Vadim Smelyanskiy, Trond I. Andersen, Pedram Roushan, Mikhail V. Feigelman, Lev B. Ioffe

Hilbert space signatures of non-ergodic glassy dynamics

Disorder in quantum many-body systems can drive transitions between ergodic and non-ergodic phases, yet the nature--and even the existence--of these transitions remains intensely debated. Using a two-dimensional array of superconducting qubits, we study an interacting spin model at finite temperature in a disordered landscape,...

💬 0 commentsarXiv:2601.01309v3PDF
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Posted in cs.CR · 2026-01-04 · Abdurrahman Tolay

Automated SBOM-Driven Vulnerability Triage for IoT Firmware: A Lightweight Pipeline for Risk Prioritization

The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, primarily due to the opacity of firmware components and the complexity of supply chain dependencies. IoT firmware frequently relies on outdated, third-party libraries embedded within monolithic binary blobs, making vulnerability...

💬 0 commentsarXiv:2601.01308v1PDF
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Posted in quant-ph · 2026-01-04 · Ayoub Ghaba, Radouan Hab Arrih, Elhoussine Atmani, Abdallah Slaoui

Einstein-Podolsky-Rosen Steering in Three Coupled Harmonic Oscillators

Quantum steering is one of the most intriguing phenomena in quantum mechanics and is essential for understanding correlations in multi-body systems. Despite its importance, analytical results for coupled three-body oscillators remain scarce. In this work, we investigate this phenomenon through a geometrical diagonalization approach,...

💬 0 commentsarXiv:2601.01307v1PDF
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Posted in cs.LG · 2026-01-04 · John Zhao

Towards a Principled Muon under $μ\mathsf{P}$: Ensuring Spectral Conditions throughout Training

The $μ$-parameterization ($μ$P) provides a principled foundation for large language model (LLM) training by prescribing width-independent learning dynamics, which in turn enables predictable scaling behavior and robust hyperparameter transfer across model sizes. A central requirement of $μ$P is the satisfaction of certain spectral...

💬 0 commentsarXiv:2601.01306v2PDF
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Posted in hep-ph · 2026-01-04 · Jia-Ying Wang, Jing Jiang, Yu-Jie Liu, Da-Cheng Yan, Zhou Rui, Zhen-Jun Xiao, Ya Li

$B_c$ meson decays into $S$-wave charmonium plus light meson pairs in the perturbative QCD approach

In this work, we explore the $P$-wave resonance contributions to the three-body charmonium decays of $B_c\to Ψ(V\to) P_1P_2$ using the perturbative QCD formalism at leading order, where $Ψ$ denotes a $S$-wave charmonium state, such as $η_c(1S,2S),J/ψ$, and $ψ(2S)$. Here, $P_1P_2$ represents a collinear $ππ$ ($Kπ$) pair in the final...

💬 0 commentsarXiv:2601.01305v2PDF
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Posted in cond-mat.mes-hall · 2026-01-04 · Zhaozhuo Zeng, Zhejunyu Jin, Peng Yan

Alignment-Dependent Gapless Chiral Split Magnons in Altermagnetic Domain Walls

Altermagnets, an emerging class of magnetic materials, exhibit exotic chiral split magnons that are of great interest for both fundamental physics and spintronic applications. However, detecting and manipulating these magnons is challenging due to their THz frequency response. Here, we report the discovery of gapless chiral split...

💬 0 commentsarXiv:2601.01420v1PDF
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Posted in physics.optics · 2026-01-04 · Hao Tian Shi, Lei Zhang, Rui Yuan Wu, Yi Ning Zheng, Xiao Qing Chen, Yuanzhe Li, Shi He, Jun Wei Wu, Qiang Cheng, Tie Jun Cui

Programmable calculus operations in electromagnetic space using space-time-coding metasurface

With the rapid advancement of metasurfaces and the increasing demand for programmable metasurfaces to simplify information systems, wave-based computation using metasurfaces has emerged as an attractive research topic. To facilitate the mathematical operations in electromagnetic (EM) space, here we propose a space-time coding...

💬 0 commentsarXiv:2601.01419v1PDF
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Posted in math.LO · 2026-01-04 · Prosenjit Howlader, Leonard Kwuida, Mike Behrisch, Churn-Jung Liau

Towards a Simplified Theory of Double Boolean Algebras: Axioms and Topological Representation

Double Boolean algebras (dBas), introduced by Wille, are based on twenty-three identities. We present a simplified axiom system, the D-core algebra, and prove it is equivalent to Wille's original definition. This reduction allows improved structural results, including a refined Boolean representation theorem showing fewer conditions...

💬 0 commentsarXiv:2601.01418v1PDF
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Posted in cs.LG · 2026-01-04 · Itay Safran

A Depth Hierarchy for Computing the Maximum in ReLU Networks via Extremal Graph Theory

We consider the problem of exact computation of the maximum function over $d$ real inputs using ReLU neural networks. We prove a depth hierarchy, wherein width $Ω\big(d^{1+\frac{1}{2^{k-2}-1}}\big)$ is necessary to represent the maximum for any depth $3\le k\le \log_2(\log_2(d))$. This is the first unconditional super-linear lower...

💬 0 commentsarXiv:2601.01417v1PDF
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Posted in cs.CV · 2026-01-04 · Yue Zhou, Ran Ding, Xue Yang, Xue Jiang, Xingzhao Liu

AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and Retrieval

Despite notable advancements in remote sensing vision-language models (VLMs), existing models often struggle with spatial understanding, limiting their effectiveness in real-world applications. To push the boundaries of VLMs in remote sensing, we specifically address vehicle imagery captured by drones and introduce a spatially-aware...

💬 0 commentsarXiv:2601.01416v1PDF
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Posted in cs.DB · 2026-01-04 · Wei Huang, Xieyang Wang, Jianqiu Xu, Guidong Zhang

A Tool for Semantic-Aware Spatial Corpus Construction

Spatial natural language interface to database systems provide non-expert users with convenient access to spatial data through natural language queries. However, the scarcity of high-quality spatial natural language query corpora limits the performance of such systems. Existing methods rely on manual knowledge base construction and...

💬 0 commentsarXiv:2601.01415v2PDF
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Posted in gr-qc · 2026-01-04 · Xiao-Xiong Zeng, Ke Wang

Repetitive Penrose Process in Accelerating Kerr Black Holes

This paper investigates the repetitive Penrose process in accelerating Kerr black holes and explores the influence of the acceleration factor on the repetitive Penrose process. After a brief review of accelerating Kerr black holes, we study the fundamental equations of the Penrose process in this spacetime, examine the stopping...

💬 0 commentsarXiv:2601.01414v2PDF
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Posted in cs.SE · 2026-01-04 · Yingjie Ma, Jing Guo, Richard D. Braatz

GlycoPy: A CasADi-based Python Framework for Hierarchical Modeling, Optimization, and Control of Bioprocesses

Efficient implementation of nonlinear model predictive control (NMPC) for bioprocesses remains challenging because large nonlinear models are difficult to organize, simulate, and embed within optimization and control workflows. This difficulty is particularly pronounced for large-scale and multiscale systems that require hierarchical...

💬 0 commentsarXiv:2601.01413v2PDF
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Posted in physics.flu-dyn · 2026-01-04 · Eric Collet

Shuttlecock velocity decay after smash and slice shots in badminton

This paper reports on the decay in shuttlecock velocity after smash and slice shots performed by elite and international players, based on the analysis of videos captured on a badminton court with high-speed cameras. The trajectories of feather shuttlecocks show an exponential decay in velocity and an exponential increase in...

💬 0 commentsarXiv:2601.01412v1PDF
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Posted in nlin.CD · 2026-01-04 · Ashwathi Poolamanna, Medha Bhindwar, Chandrakala Meena

Chimera States in Wheel Networks

How higher-order interactions influence dynamical behavior in networks of coupled chaotic oscillators remains an open question. To address this, we investigate emergent dynamical behaviors in a wheel network of Rössler and Lorenz oscillators that incorporates both pairwise (1-simplex) and higher-order (2-simplex) interactions under...

💬 0 commentsarXiv:2601.01411v1PDF
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Posted in eess.SY · 2026-01-04 · Sunki Hong, Jisoo Lee

Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems

Accurate grid load forecasting is safety-critical: under-predictions risk supply shortfalls, while symmetric error metrics can mask this operational asymmetry. We introduce an operator-legible evaluation framework -- Under-Prediction Rate (UPR), tail $\text{Reserve}_{99.5}^{\%}$ requirements, and explicit inflation diagnostics...

💬 0 commentsarXiv:2601.01410v6PDF
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Posted in cond-mat.mtrl-sci · 2026-01-04 · Kai Gu, Yingping Liang, Senliang Peng, Aotian Guo, Haizheng Zhong, Ying Fu

A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design

The synthesis of nanocrystals has been highly dependent on trial-and-error, due to the complex correlation between synthesis parameters and physicochemical properties. Although deep learning offers a potential methodology to achieve generative inverse design, it is still hindered by the scarcity of high-quality datasets that align...

💬 0 commentsarXiv:2601.02424v2PDF
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Posted in eess.SY · 2026-01-04 · Chuyuan Tao, Fanxin Wang, Haolong Jiang, Jia He, Yiyang Chen, Qinglei Bu

Sampling Strategy Design for Model Predictive Path Integral Control on Legged Robot Locomotion

Model Predictive Path Integral (MPPI) control has emerged as a powerful sampling-based optimal control method for complex, nonlinear, and high-dimensional systems. However, directly applying MPPI to legged robotic systems presents several challenges. This paper systematically investigates the role of sampling strategy design within...

💬 0 commentsarXiv:2601.01409v1PDF
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Posted in cs.CV · 2026-01-04 · Gong Gao, Zekai Wang, Jian Zhao, Ziqi Xie, Xianhui Liu, Weidong Zhao

Mask-Guided Multi-Task Network for Face Attribute Recognition

Face Attribute Recognition (FAR) plays a crucial role in applications such as person re-identification, face retrieval, and face editing. Conventional multi-task attribute recognition methods often process the entire feature map for feature extraction and attribute classification, which can produce redundant features due to reliance...

💬 0 commentsarXiv:2601.01408v1PDF
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Posted in cs.CL · 2026-01-04 · Arjhun Sreedar, Rohan Pillay, Laukik Patade

From Emotion Classification to Emotional Reasoning: Enhancing Emotional Intelligence in Large Language Models

This work investigates whether synthetic emotional chain-of-thought data can improve the emotional reasoning abilities of smaller open large language models (LLMs). We design a multi-agent generation pipeline that produces therapy-style conversations and converts them into structured emotion multiple-choice questions (MCQs) with...

💬 0 commentsarXiv:2601.01407v1PDF
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Posted in cs.CV · 2026-01-04 · Habiba Kausar, Saeed Anwar, Omar Jamal Hammad, Ibrahim Radwan, Abdul Bais

SwinIFS: Landmark Guided Swin Transformer For Identity Preserving Face Super Resolution

Face super-resolution aims to recover high-quality facial images from severely degraded low-resolution inputs, but remains challenging due to the loss of fine structural details and identity-specific features. This work introduces SwinIFS, a landmark-guided super-resolution framework that integrates structural priors with hierarchical...

💬 0 commentsarXiv:2601.01406v3PDF
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Posted in cs.CG · 2026-01-04 · Jay-Anne Bulauan, John Rick Manzanares

Exact and Approximate Range Queries for Efficient Ball Mapper Construction

Ball Mapper is a tool in topological data analysis that summarizes a finite metric dataset by covering it with metric balls and encoding their overlaps as a graph. Its construction requires repeated fixed-radius range queries, which can become computationally expensive for large or high-dimensional datasets. This work studies two...

💬 0 commentsarXiv:2601.01405v2PDF
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Posted in quant-ph · 2026-01-04 · Hang Xu, Xiaoyang Deng, Ze Zheng, Tailong Xiao, Guihua Zeng

Noise-Resilient Heisenberg-limited Quantum Sensing via Indefinite-Causal-Order Error Correction

Quantum resources can, in principle, enable Heisenberg-limited (HL) sensing, yet no-go theorems imply that HL scaling is generically unattainable in realistic noisy devices. While quantum error correction (QEC) can suppress noise, its use in quantum sensing is constrained by stringent requirements, including prior noise...

💬 0 commentsarXiv:2601.01404v1PDF
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Posted in cs.LG · 2026-01-04 · Zewei Yu, Jianqiu Xu, Caimin Li

A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble

With the increasing volume of streaming data in industrial systems, online anomaly detection has become a critical task. The diverse and rapidly evolving data patterns pose significant challenges for online anomaly detection. Many existing anomaly detection methods are designed for offline settings or have difficulty in handling...

💬 0 commentsarXiv:2601.01403v1PDF
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Posted in astro-ph.HE · 2026-01-04 · Bhaskar Biswas, Stephan Rosswog, Peter Diener, Lukas Schnabel

Binary neutron star mergers with SPHINCS_BSSN: temperature-dependent equations of state and damping of constraint violations

Neutron star mergers hold the key to several grand challenges of contemporary (astro-)physics. In view of the upcoming next generation of ground-based detectors, it is crucial to keep improving theoretical predictions to harvest the full scientific returns from these investments. We introduce here a substantial update of our...

💬 0 commentsarXiv:2601.01402v1PDF