Tootfinder

On Apparent Absence of Green Gap in InGaN/GaN Quantum Disks and Wells Grown by Plasma-Assisted Molecular Beam Epitaxy
Sharif Md. Sadaf, Nirmal Anand, Emile A. Carbone, Dipon K. Ghosh, Haipeng Tang
https://arxiv.org/abs/2506.11782

On Apparent Absence of Green Gap in InGaN/GaN Quantum Disks and Wells Grown by Plasma-Assisted Molecular Beam Epitaxy
III-nitride based full-color blue, green and red-light emitting diodes are critically important for a broad range of important applications. To date, however, green or red color III-nitride light emitters grown by conventional growth techniques are limited in efficiency compared to blue emitters. As opposed to metal-organic chemical vapor deposition (MOCVD), while grown by plasma-assisted molecular beam epitaxy (PAMBE), the most intense emission is generally observed in the green spectral regio…

Coinbase was hacked and lost 1000s of customers' name, address, phone, email, driver’s license, and passport info.
This is where the Orwellian "Know Your Customer" bullshit gets us. 1000s of companies store vast amounts of private data they aren't qualified to protect!

Accessible Design in Integrated Development Environments: A Think Aloud Study Exploring the Experiences of Students with ADHD
Luke Halpin, Phillip Benachour, Tracy Hall, Ann-Marie Houghton, Emily Winter
https://arxiv.org/abs/2506.10598

Accessible Design in Integrated Development Environments: A Think Aloud Study Exploring the Experiences of Students with ADHD
Coding forms a key part of computer science education in universities. As part of this education, Integrated Development Environments (IDEs) are essential tools for coding. However, it is currently unknown how the design of an IDE's interface impacts on students with Attention Deficit Hyperactivity Disorder (ADHD). In this study we investigated the use of IDEs by students with ADHD. We conducted a think aloud study with nine university computing students, followed by qualitative observational…

Visual metrics on boundaries of hyperbolic spaces
Emily Stark
https://arxiv.org/abs/2506.10108 https://arxiv.org/pdf/2506.10108

Visual metrics on boundaries of hyperbolic spaces
This is an expository article on visual metrics on boundaries of hyperbolic metric spaces. We discuss the construction of visual metrics, quasisymmetries and their invariants, Hausdorff and conformal dimension, and constructions and applications of Gromov's round trees. There is a focus on providing examples throughout. These notes are based on the material of a minicourse given by the author at the 2024 Riverside Workshop in Geometric Group Theory.

Wasserstein Distances on Quantum Structures: an Overview
Emily Beatty
https://arxiv.org/abs/2506.09794 https://arxiv.org/pdf/2506.097…

Wasserstein Distances on Quantum Structures: an Overview
The theory of optimal transport of probability measures has wide-ranging applications across a number of different fields, including concentration of measure, machine learning, Markov chains, and economics. The generalisation of optimal transport tools from probability measures to quantum states has shown great promise over the last few years, particularly in the development of the theory of Wasserstein-style distances and divergences between quantum states. Such distances have already led to a…

I think the Swedish Transport Administration, Trafikverket, is using templates wrong or something. Not sure what the Situation is :P

Classification of multiple segmented profiles, application to the study of the neuronal protein Tau
Vincent Brault, Emilie Lebarbier, Am\'elie Rosier, Virginie Stoppin-Mellet
https://arxiv.org/abs/2506.10126

Classification of multiple segmented profiles, application to the study of the neuronal protein Tau
This work is motivated by an application in neuroscience, in particular by the study of the (dys)functioning of a protein called Tau. The objective is to establish a classification of intensity profiles, according to the presence or absence of the protein and its monomer or dimer proportion. For this, we propose a Gaussian mixture model with a fixed number of clusters whose mean parameters are constrained and shared by the clusters. The inference of this model is done via the classical EM algor…

Constrained Pareto Set Identification with Bandit Feedback
Cyrille Kone, Emilie Kaufmann, Laura Richert
https://arxiv.org/abs/2506.08127 https://

Constrained Pareto Set Identification with Bandit Feedback
In this paper, we address the problem of identifying the Pareto Set under feasibility constraints in a multivariate bandit setting. Specifically, given a $K$-armed bandit with unknown means $μ_1, \dots, μ_K \in \mathbb{R}^d$, the goal is to identify the set of arms whose mean is not uniformly worse than that of another arm (i.e., not smaller for all objectives), while satisfying some known set of linear constraints, expressing, for example, some minimal performance on each objective. Our focu…

Trotter transition in BCS pairing dynamics
Aniket Patra, Emil A. Yuzbashyan, Boris L. Altshuler, Sergej Flach
https://arxiv.org/abs/2506.08657 https://

Trotter transition in BCS pairing dynamics
We Trotterize the mean-field dynamics of the integrable BCS model using symplectic integrators. The resulting chaotic dynamics is characterized by its Lyapunov spectrum and rescaled Kolmogorov-Sinai entropy. The chaos quantifiers depend on the Trotterization time step $τ$. We observe a Trotter transition at a finite step value $τ_c \approx \sqrt{N}$. While the dynamics is weakly chaotic for time steps $τ\ll τ_c$, the regime of large Trotterization steps is characterized by short temporal co…

Adaptive quantum dynamics with the time-dependent variational Monte Carlo method
Raffaele Salioni, Rocco Martinazzo, Davide Emilio Galli, Christian Apostoli
https://arxiv.org/abs/2506.08575

Adaptive quantum dynamics with the time-dependent variational Monte Carlo method
We introduce an extension of the time-dependent variational Monte Carlo (tVMC) method that adaptively controls the expressivity of the variational quantum state during the simulation. This adaptive tVMC approach addresses numerical instabilities that arise when the variational ansatz is overparameterized or contains redundant degrees of freedom. Building on the concept of the local-in-time error (LITE), a measure of the deviation between variational and exact evolution, we introduce a procedure…