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Ever wondered how Kubernetes runs on a tractor? At Berlin Buzzwords 2025, join Wieneke Keller & Sebastian Lenartowicz from Aurea Imaging to explore their innovative AgTech journey! Discover how they built an edge device with Python microservices and K3s for precision farming, tackling unique rural challenges. 
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Precision farming powered by K3s and TensorRT
Aurea Imaging is an AgTech scaleup focusing on precision farming in orchards. By retrofitting our TreeScout sensor package to their tractors, farmers are able to collect data about their orchard down to the tree level as they perform other tasks. Using onboard stereo cameras, the tractor’s high-precision GPS, a machine-vision pipeline running in real time on the device, and cloud-based analytics, this data is turned into maps used by other agricultural machines that enable the grower to utili…

Probing the Physical Reality of Projective Measurements
Leonard Werner Pingen, Mattia Moroder, Sebastian Paeckel
https://arxiv.org/abs/2506.20618 https://

Probing the Physical Reality of Projective Measurements
We propose a protocol to test whether the postulate of a measurement acting as an instantaneous projection onto an eigenstate of the measurement apparatus is compatible with physical reality. This approach is solely based on repeated measurements of local quantities with frequencies that are within reach of analog quantum simulation platforms, for instance Rydberg atom arrays or ultracold gases in optical lattices. Crucially, we also develop a continuous description of a quantum measurement fin…

Iterated jump noncomputability and compactness
Gavin Dooley
https://arxiv.org/abs/2506.20620 https://arxiv.org/pdf/2506.20620

Iterated jump noncomputability and compactness
We use reverse mathematics to analyze "iterated jump" versions of the following four principles: the atomic model theorem with subenumerable types (AST), the diagonally noncomputable principle (DNR), weak weak Kőnig's lemma (WWKL), and weak Kőnig's lemma (WKL). The logical relationships between these principles are summarized in Figure 1 and include, among other things, an infinite chain and an infinite antichain, the latter of which represents a strong form of non-linearity in terms of prova…

An Accretion Flare Interpretation for the UHE Neutrino Event KM3-230213A
Chengchao Yuan, Leonard Pfeiffer, Walter Winter, Sara Buson, Federico Testagrossa, Jose Maria Sanchez Zaballa, Alessandra Azzollini
https://arxiv.org/abs/2506.21111

An Accretion Flare Interpretation for the UHE Neutrino Event KM3-230213A
We study the origin of the ultra-high-energy (UHE) astrophysical neutrino event KM3-230213A detected by KM3NeT, focusing on MRC 0614-083 which has been pinpointed as the closest blazar to the neutrino localization. A joint interpretation of the optical, infrared, and X-ray light curves suggests that MRC 0614-083 has undergone a super-Eddington accretion flare accompanied by efficient proton acceleration. That flare has initiated a delayed infrared echo within the surrounding dust torus, which s…

Building Forest Inventories with Autonomous Legged Robots -- System, Lessons, and Challenges Ahead
Mat\'ias Mattamala, Nived Chebrolu, Jonas Frey, Leonard Frei{\ss}muth, Haedam Oh, Benoit Casseau, Marco Hutter, Maurice Fallon
https://arxiv.org/abs/2506.20315

Building Forest Inventories with Autonomous Legged Robots -- System, Lessons, and Challenges Ahead
Legged robots are increasingly being adopted in industries such as oil, gas, mining, nuclear, and agriculture. However, new challenges exist when moving into natural, less-structured environments, such as forestry applications. This paper presents a prototype system for autonomous, under-canopy forest inventory with legged platforms. Motivated by the robustness and mobility of modern legged robots, we introduce a system architecture which enabled a quadruped platform to autonomously navigate an…

Numerical solution of the Lindblad master equation using the Runge-Kutta method implemented in Python
Leonardi Hern\'andez S\'anchez, Iv\'an Alejandro Bocanegra Garay, Ariel Flores Rosas, Ir\'an Ramos Prieto, Francisco Soto Eguibar, H\'ector Manuel Moya Cessa
https://arxiv.org/abs/2506.19238

Numerical solution of the Lindblad master equation using the Runge-Kutta method implemented in Python
The dynamics of open quantum systems is governed by the Lindblad master equation, which provides a consistent framework for incorporating environmental effects into the evolution of the system. Since exact solutions are rarely available, numerical methods become essential tools for analyzing such systems. This article presents a step-by-step implementation of the fourth-order Runge-Kutta method in Python to solve the Lindblad equation for a single quantized field mode subject to decay. A cohere…

Minimal Per-Flow Backlog Bounds at an Aggregate FIFO Server under Piecewise-Linear Arrival Curves
Lukas Wildberger, Anja Hamscher, Jens B. Schmitt
https://arxiv.org/abs/2506.16914

Minimal Per-Flow Backlog Bounds at an Aggregate FIFO Server under Piecewise-Linear Arrival Curves
Network Calculus (NC) is a versatile methodology based on min-plus algebra to derive worst-case per-flow performance bounds in networked systems with many concurrent flows. In particular, NC can analyze many scheduling disciplines; yet, somewhat surprisingly, an aggregate FIFO server is a notoriously hard case due to its min-plus non-linearity. A resort is to represent the FIFO residual service by a family of functions with a free parameter instead of just a single curve. For simple token-bucke…

Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
Arif Pathan
https://arxiv.org/abs/2506.17244

Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
Short-term sentiment forecasting in financial markets (e.g., stocks, indices) is challenging due to volatility, non-linearity, and noise in OHLC (Open, High, Low, Close) data. This paper introduces a novel CMG (Chaos-Markov-Gaussian) framework that integrates chaos theory, Markov property, and Gaussian processes to improve prediction accuracy. Chaos theory captures nonlinear dynamics; the Markov chain models regime shifts; Gaussian processes add probabilistic reasoning. We enhance the framework…

An Elementary Characterization of Bargmann Invariants
Sagar Silva Pratapsi, Jo\~ao Gouveia, Leonardo Novo, Ernesto F. Galv\~ao
https://arxiv.org/abs/2506.17132

An Elementary Characterization of Bargmann Invariants
Bargmann invariants, also known as multivariate traces of quantum states $\operatorname{Tr}(ρ_1 ρ_2 \cdots ρ_n)$, are unitary invariant quantities used to characterize weak values, Kirkwood-Dirac quasiprobabilities, out-of-time-order correlators (OTOCs), and geometric phases. Here we give a complete characterization of the set $B_n$ of complex values that $n$-th order invariants can take, resolving some recently proposed conjectures. We show that $B_n$ is equal to the range of invariants ari…

Numerical study of the radiation-matter interaction quantum systems through the time-dependent Schr\"odinger dynamics
Leonardi Hern\'andez S\'anchez, Ir\'an Ramos Prieto, Ariel Flores Rosas, Francisco Soto Eguibar, H\'ector Manuel Moya Cessa
https://arxiv.org/abs/2506.19227

Numerical study of the radiation-matter interaction quantum systems through the time-dependent Schrödinger dynamics
Obtaining exact solutions to the Schrödinger equation in complex quantum systems poses significant challenges. In this context, numerical methods emerge as valuable tools for analyzing such systems. This article proposes a numerical approach using the fourth-order Runge-Kutta method, implemented in Python, to tackle radiation-matter interaction systems. This methodology is applicable to various Hamiltonians, including that of the Jaynes-Cummings model. The accuracy of the numerical results is …