Tootfinder

Entanglement structure for finite system under dual-unitary dynamics
Gaurav Rudra Malik, Rohit Kumar Shukla, Sudhanva Joshi, S. Aravinda, Sunil Kumar Mishra
https://arxiv.org/abs/2506.09904

Entanglement structure for finite system under dual-unitary dynamics
The dynamics of quantum many-body systems in the chaotic regime are of particular interest due to the associated phenomena of information scrambling and entanglement generation within the system. While these systems are typically intractable using traditional numerical methods, an effective framework can be implemented based on dual-unitary circuits which have emerged as a minimal model for maximally chaotic dynamics. In this work, we investigate how individual two-body operators influence the …

Nowcasting the euro area with social media data
Konstantin Boss, Luigi Longo, Luca Onorante
https://arxiv.org/abs/2506.10546 https://…

Nowcasting the euro area with social media data
Using a state-of-the-art large language model, we extract forward-looking and context-sensitive signals related to inflation and unemployment in the euro area from millions of Reddit submissions and comments. We develop daily indicators that incorporate, in addition to posts, the social interaction among users. Our empirical results show consistent gains in out-of-sample nowcasting accuracy relative to daily newspaper sentiment and financial variables, especially in unusual times such as the (p…

Constraining quadrupole deformations with relativistic effects
Daniya Utepova, Kuantay Boshkayev, Serzhan Momynov, Anuar Idrissov, Gulzada Baimbetova, Hernando Quevedo, Ainur Urazalina
https://arxiv.org/abs/2506.10437

Constraining quadrupole deformations with relativistic effects
We investigate two general relativistic effects - namely, the Shirokov and Shapiro effects - within the framework of the Zipoy-Voorhees spacetime ($q$-metric), which generalizes the Schwarzschild solution by incorporating a quadrupole moment. By analyzing the geodesic deviation equations, we explore the oscillatory motion of test particles and demonstrate how the source's quadrupole parameter influences the Shirokov effect. Furthermore, we derive an expression for the Shapiro time delay in this…

On-chip pulse generation at 8 {\mu}m wavelength
Annabelle Bricout, Mathieu Bertrand, Philipp T\"aschler, Barbara Schneider, Victor Turpaud, Stefano Calcaterra, Davide Impelluso, Marco Faverzani, David Bouville, Jean-Ren\'e Coudevylle, Samson Edmond, Etienne Herth, Carlos Alonso-Ramos, Laurent Vivien, Jacopo Frigerio, Giovanni Isella, J\'er\^ome Faist, Delphine Marris-Morini

On-chip pulse generation at 8 μm wavelength
The mid-infrared spectral region holds growing importance for applications such as gas sensing and spectroscopy. Although compact ultrashort pulse laser sources are essential to enable these applications, their realization in this spectral range remains an open challenge. We demonstrate an integrated approach to generate pulses in the mid-infrared based on chirped Bragg gratings engineered to compensate for the group delay dispersion of quantum cascade laser frequency comb sources. SiGe graded-…

Profile of Dominick McGee, a right-wing X influencer who has amassed 1.5M followers and made $157K since 2023 by spending 11 hours daily posting about politics (New York Times)
https://www.nytimes.com/2025/06/06/technol

He’s a Master of Outrage on X. The Pay Isn’t Great.
An online creator went from a “nobody” to a conspiratorial sensation on X. What he gets in return is less clear.

Pattern-preserving optimal control problems with increasing time horizon
Matteo Della Rossa, Lorenzo Freddi
https://arxiv.org/abs/2506.09970 https://

Pattern-preserving optimal control problems with increasing time horizon
We establish a general framework that guarantees the preservation of optimal control patterns as the time horizon $[0,T]$ increases and becomes unbounded. A concept of pattern-preserving family of optimal control problems is introduced and the goal is achieved by analyzing the $Γ$-convergence of the corresponding variational formulations as $T\to\infty$. Special attention is given to scenarios involving state constraints. To illustrate the results, examples and applications are provided, with …

Holographic D-brane constructions with dynamical gauge fields
Yongjun Ahn, Matteo Baggioli, Hyun-Sik Jeong, Masataka Matsumoto
https://arxiv.org/abs/2506.09461

Holographic D-brane constructions with dynamical gauge fields
Holographic D-brane constructions, governed by the Dirac-Born-Infeld (DBI) action, play a central role in the AdS/CFT correspondence, particularly in applications to quantum chromodynamics and condensed matter systems. In this work, we demonstrate how to equip these bottom-up holographic models with dynamical boundary gauge fields, thereby introducing electromagnetic interactions into their dual field theory descriptions. As a direct application of this formalism, we compute the dispersion rela…

$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing
Yifan Zeng
https://arxiv.org/abs/2506.05844

$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing
Network Intrusion Detection Systems (NIDS) face challenges due to class imbalance, affecting their ability to detect novel and rare attacks. This paper proposes a Dual-Conditional Batch Normalization Variational Autoencoder ($\text{C}^{2}\text{BNVAE}$) for generating balanced and labeled network traffic data. $\text{C}^{2}\text{BNVAE}$ improves the model's adaptability to different data categories and generates realistic category-specific data by incorporating Conditional Batch Normalization (C…

Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Nicholas Summerfield, Qisheng He, Alex Kuo, Ahmed I. Ghanem, Simeng Zhu, Chase Ruff, Joshua Pan, Anudeep Kumar, Prashant Nagpal, Jiwei Zhao, Ming Dong, Carri K. Glide-Hurst
https://arxiv.org/abs/2506.10797

Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
Cardiac substructures are essential in thoracic radiation therapy planning to minimize risk of radiation-induced heart disease. Deep learning (DL) offers efficient methods to reduce contouring burden but lacks generalizability across different modalities and overlapping structures. This work introduces and validates a Modality-AGnostic Image Cascade (MAGIC) for comprehensive and multi-modal cardiac substructure segmentation. MAGIC is implemented through replicated encoding and decoding branches…

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