Tootfinder

The Holography of Spread Complexity: A Story of Observers
Zhehan Li, Jia Tian
https://arxiv.org/abs/2506.13481 https://arxiv.org/pdf/…

The Holography of Spread Complexity: A Story of Observers
We propose a holographic description of spread complexity and its rate in 2D CFTs, building on the pioneering work \cite{Caputa:2024sux}. By exploiting the $SL(2,\mathbb{R})$ symmetry, we construct the Krylov basis and demonstrate that its non-uniqueness gives rise to ambiguities analogous to those in quantum complexity. Within the AdS/CFT correspondence, we identify the spread complexity as the energy measured by a bulk observer, with its rate corresponding to the radial momentum. These result…

MobileHolo: A Lightweight Complex-Valued Deformable CNN for High-Quality Computer-Generated Hologram
Xie Shuyang, Zhou Jie, Xu Bo, Wang Jun, Xu Renjing
https://arxiv.org/abs/2506.14542

MobileHolo: A Lightweight Complex-Valued Deformable CNN for High-Quality Computer-Generated Hologram
Holographic displays have significant potential in virtual reality and augmented reality owing to their ability to provide all the depth cues. Deep learning-based methods play an important role in computer-generated holograms (CGH). During the diffraction process, each pixel exerts an influence on the reconstructed image. However, previous works face challenges in capturing sufficient information to accurately model this process, primarily due to the inadequacy of their effective receptive fiel…

Non-equilibrium real-time dynamics and transport coefficients in Light-Front Holographic QCD
Fidele J. Twagirayezu
https://arxiv.org/abs/2506.12653 https:/…

Non-equilibrium real-time dynamics and transport coefficients in Light-Front Holographic QCD
We propose an extension of Light-Front Holographic QCD (LFHQCD) to investigate non-equilibrium real-time dynamics and transport properties of strongly coupled QCD matter. While LFHQCD has been successfully applied to hadronic spectroscopy and parton distributions, its potential for modeling transport phenomena remains unexplored. We develop a light-front framework to compute key transport coefficients-such as shear viscosity, bulk viscosity, and the jet quenching parameter-by introducing finite…

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Wir haben große Zweifel, dass der Vorschlag des grünen Baubürgermeisters dem ge-
recht wird."
Holger Zastrow
"Unser gemeinsamer Antrag sorgt für Qualität und Tempo."
Heike Ahnert
Realität:
Baustart frühestens 2028. Ein Jahr später als von der Verwaltung geplant.

#Tesla will mit Robotaxis beweisen, dass autonomes Fahren ohne Lidar und nur mit Kameras möglich ist. Doch die Zeit drängt: Waymo, VW und Uber sind schon da. Sollte der Start in Austin misslingen, droht Tesla der Verlust seiner Vorreiterrolle – und der Glaube an Musks Vision. Es ist nicht nur ein Test für die Technik, sondern für das ganze Unternehmen. Holger Schmidt -

Das #Rezept des Tages:
Perfekt für die nächste #Brotzeit: Tomaten-Basilikum-#Brotaufstrich! 🍅🌿 Dieser cremige Aufstrich aus

Tomaten-Basilikum-Brotaufstrich
Dieser vegetarische Brotaufstriche hält sich im Kühlschrank einige Tage. Er schmeckt zum Beispiel gut auf frisch gebackenen Vollkornbrötchen.

...und irgendwo da ganz weit hinten soll angeblich Salzwasser sein... 😉

Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control
Anas Abdelkarim, Holger Voos, Daniel G\"orges
https://arxiv.org/abs/2506.14341

Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control
Factor graphs have demonstrated remarkable efficiency for robotic perception tasks, particularly in localization and mapping applications. However, their application to optimal control problems -- especially Model Predictive Control (MPC) -- has remained limited due to fundamental challenges in constraint handling. This paper presents a novel integration of the Barrier Interior Point Method (BIPM) with factor graphs, implemented as an open-source extension to the widely adopted g2o framework. O…

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