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Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders

Emma Andrews, Sahan Sanjaya, Prabhat Mishra · 2026

Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully crafted noise, it can cau…

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Magnetic excitation spectrum and hierarchy of magnetic interactions in ErFeO3

Dnyaneshwar R. Bhosale, Piotr Fabrykiewicz, Devashibhai Adroja, Martin Meven, Astrid Schneidewind, Michal Stekiel · 2026

We report a comprehensive investigation of the excitation spectrum of ErFeO$_3$ orthoferrite by means of time-of-flight neutron spectroscopy. The spectrum consists of two distinct components: strongly…

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VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials

Rogerio Almeida Gouvea, Gian-Marco Rignanese · 2026

While machine-learned interatomic potentials (MLIPs) accelerate phonon dispersion calculations, merely identifying dynamical instabilities in computationally predicted materials is insufficient; autom…

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Blazar flares from plasma blobs crossing the broad-line region

Sebastien Le Bihan, Anton Dmytriiev, Andreas Zech · 2026

The blazar 3C 279 is well known for its rapid and large-amplitude variability. On 20 December 2013, the source exhibited an orphan {\gamma}-ray flare characterized by a flux-doubling timescale of a fe…

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Gravitational wave constraints on the Paneitz operator

Robin Valtin, Alexander Ganz, Guillem Domenech · 2026

The Paneitz operator is a dimension-4 conformally invariant fourth-order differential operator that has recently attracted attention for possible cancellations of the vacuum energy. We show that, in f…

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The Critical Mass in Galaxy Evolution

Preetish K. Mishra, Changbom Park, Jaehyun Lee, Yohan Dubois, Christophe Pichon, Juhan Kim, Brad Gibson · 2026

We investigate the physical origin of critical mass, a threshold where many galaxy properties and scaling relations undergo fundamental transitions, using the Horizon Run 5 simulation. Focusing on mas…

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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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High-key-rate Fully-Passive Quantum Access Network with Thermal Source

H.W. Yin, B.D. Zhu, H. Peng, T. Wang, X.Q. Jiang, Y.K. Xu, G.H. Zeng · 2026

To accommodate classical communication systems with progressively increasing transmission rates, quantum access networks (QAN) have undergone systematic and protocol-level optimizations in recent year…

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Dust cloud lifetimes of Scallop-shell stars

Simon Daley-Yates, Moira M. Jardine, Luke Bouma · 2026

We investigate the survival of dust trapped in magnetically confined cool gas clouds (or {\it prominences}) around rapidly rotating M-dwarfs exhibiting the ``scallop-shell'' light-curve morphology. Us…

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Schwinger-Keldysh Path Integral for Gauge theories

Greg Kaplanek, Maria Mylova, Andrew J. Tolley · 2026

We develop the Schwinger-Keldysh path-integral formalism for open non-Abelian gauge theories that are gauge-fixed via the BRST method in covariant gauges. We focus on generic initial states, pure and …

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Towards Quantum Optimised Malware Containment

Matthew Sutcliffe, Ravindra Mutyamsetty · 2026

The containment of malware in computing networks may be naturally formulated as a network influence minimisation problem, in which one seeks to limit the expected spread of an infection while balancin…

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Turbulence and its Potential Impact on Solar Chromospheric and Coronal Heating

Gary P. Zank, Xiaocan Li, Krishna Khanal, Alphonse C. Sterling, Masaru Nakanotani, Linging Zhao, Laxman Adhikari, Yalim Mehmet, Subramania Athiray Panchapakesan, Fan Guo, Ronald L. Moore · 2026

Low-frequency turbulence in the solar chromosphere remains poorly understood. We address 1) the sources of low-frequency turbulence that potentially heat the chromosphere, and 2) how turbulence is tra…

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A cm-wave quantum noise limited resonant superconducting parametric amplifier

V. Gilles, T. Sweetnam, B. Mohammadian, M. A. McCulloch, L. Piccirillo · 2026

Superconducting Parametric Amplifiers (SPAs) have seen great interest in recent years due to their high gain and quantum limited noise performance. Among these amplifiers, resonant SPAs have been wide…

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Particle seismology: mechanical and gravitational properties from parton-hadron duality

Enrique Ruiz Arriola, Wojciech Broniowski · 2026

The internal structure of hadrons is characterized by form factors which correspond to matrix elements of currents. Among those, the stress-energy-momentum tensor is a universally conserved quantity p…

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Plasma dechirper and lens for electron beams from laser wakefield acceleration in a tailored density profile

T.L. Steyn, A. Panchal, O. Vasilovici, F.M. Herrmann, S. Schobel, P. Ufer, O. Khomyshyn, Y.-Y. Chang, I. Moulanier, M. Masckala, M. Samir, C. Ballage, M. LaBerge, P. Desesquelles, F. Massimo, S. Dobosz Dufrenoy, U. Schramm, A. Irman, B. Cros · 2026

Achieving high-quality electron beams from laser wakefield accelerators critically relies on density tailoring to control electron dynamics during injection, acceleration, and extraction. We report on…

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A Multi-Level Integrity Evaluation Framework for Quantum Circuits under Controlled Anomaly Injection

Ejaz Ahmed, Boshuai Ye, Syed Hamza Shah, Muhammad Azeem Akbar, Arif Ali Khan · 2026

Ensuring the integrity of quantum circuits is a significant challenge in the Noisy Intermediate-Scale Quantum (NISQ) era, where circuits are subject to compilation transformations, hardware constraint…

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Nitrogen-induced ELM suppression and confinement improvement in the EAST tokamak with a full metal wall

Jingyan Hu, Peng Shi, Chu Zhou, Jinyue Liu, Gongshun Li, Hailin Zhao, Xiang Jian, Ge Zhuang · 2026

This paper reports the achievement of an ELM-free H-mode regime with confinement improvement enabled by nitrogen (N2) seeding on the Experimental Advanced Superconducting Tokamak (EAST) with a full me…

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Scaling in Supersonic Turbulence: Energy Spectra and Fluxes using High-Fidelity Direct Numerical Simulations

Harshit Tiwari, Dhananjay Singh, Mahendra K. Verma, Rajesh Ranjan · 2026

Supersonic turbulence is vital to astrophysical and high-speed engineering flows, yet its energy transfer mechanisms remain poorly understood. We present high-resolution ($1024^3$) direct numerical si…

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A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks

Ban Q. Tran, Duong M. Chu, Hai T.D. Pham, Viet Q. Nguyen, Quan A. Pham, Susan Mengel · 2026

Quantum Machine Learning (QML) has recently emerged as a highly promising research frontier. Within this domain, Quantum Neural Networks (QNNs),characterized by Variational Quantum Circuits (VQCs) at …

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Diffusion with conserved marginal distributions and information theory in fracton hydrodynamics

Vaibhav Mohanty, Sunghan Ro · 2026

Diffusion with multipole-moment conservation gives rise to transport laws that generalize Fick's law and has attracted growing attention following experimental advances in strongly tilted optical latt…

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