Tootfinder

Information-theoretic analysis of complex eigenmodes across avoided crossings in open microcavities
Kyu-won Park, soojoon-Lee, Kabgyun Jeong
https://arxiv.org/abs/2509.19827 ht…

Information-theoretic analysis of complex eigenmodes across avoided crossings in open microcavities
Avoided crossings (ACs) are hallmark signatures of mode interaction in quantum and wave systems. Open microcavities whose resonances are naturally described as quasi-normal modes (QNMs) with complex eigenfrequencies offer a convenient platform to observe how openness and loss reorganize modal structure. We introduce a compact \emph{quadrature space} framework that represents a complex QNM by probability weights on its real and imaginary quadratures, and we apply Shannon-type measures to these d…

Hyperfine interaction of electrons confined in CsPbI$_3$ nanocrystals with nuclear spin fluctuations
Sergey R. Meliakov, Evgeny A. Zhukov, Vasilii V. Belykh, Kirill V. Kavokin, Mikhail O. Nestoklon, Elena V. Kolobkova, Maria S. Kuznetsova, Manfred Bayer, Dmitri R. Yakovlev
https://arxiv.org/abs/2508.17881

Hyperfine interaction of electrons confined in CsPbI$_3$ nanocrystals with nuclear spin fluctuations
The coherent spin dynamics of electrons are investigated for CsPbI$_3$ perovskite nanocrystals in a glass matrix using time-resolved Faraday ellipticity. In nanocrystals with a diameter of about 11 nm, the Larmor precession frequency has a linear dependence on magnetic field corresponding to the electron Landé $g$-factor of 2.07. We find a finite Larmor precession frequency at zero magnetic field, corresponding to the electron spin splitting of $0.8$ $μ$eV. This splitting is explained by the …

Optimization of Base-n Radix Sort for Skewed Datasets
Atharv Pandey, Lakshmanan Kuppusamy
https://arxiv.org/abs/2509.19021 https://arxiv.org/pdf/2509.19021…

Use of a genetic algorithm to find solutions to introductory physics problems
Tom Bensky, Justin Kopcinski
https://arxiv.org/abs/2508.10920 https://arxiv.o…

Use of a genetic algorithm to find solutions to introductory physics problems
In this work, we show how a genetic algorithm (GA) can be used to find step-by-step solutions to introductory physics problems. Our perspective is that the underlying task for this is one of finding a sequence of equations that will lead to the needed answer. Here a GA is used to find an appropriate equation sequence by minimizing a fitness function that measures the difference between the number of unknowns versus knowns in a set of equations. Information about knowns comes from the GA posing …

Each year the public broadcast service in Norway produce BlimE. Some Top Norwegian artist is hired with creating a song about friendship and inclusion. All kids in Norway learns the same dance, and comes together and dance. For friendship and inclusion.
Here is this years song:
https://www.youtube.com/watch?v=1k9QFs2nWkw

Going with the Flow: Solving for Symmetry-Driven PDE dynamics with Physics-informed Neural Networks
Michail Kavousanakis, Gianluca Fabiani, Anastasia Georgiou, Constantinos Siettos, Panagiotis Kevrekidis, Ioannis Kevrekidis
https://arxiv.org/abs/2509.15963

Going with the Flow: Solving for Symmetry-Driven PDE dynamics with Physics-informed Neural Networks
In the past, we have presented a systematic computational framework for analyzing self-similar and traveling wave dynamics in nonlinear partial differential equations (PDEs) by dynamically factoring out continuous symmetries such as translation and scaling. This is achieved through the use of time-dependent transformations -- what can be viewed as dynamic pinning conditions -- that render the symmetry-invariant solution stationary or slowly varying in rescaled coordinates. The transformation pr…

Inference Time Debiasing Concepts in Diffusion Models
Lucas S. Kupssinsk\"u, Marco N. Bochernitsan, Jordan Kopper, Ot\'avio Parraga, Rodrigo C. Barros
https://arxiv.org/abs/2508.14933

Inference Time Debiasing Concepts in Diffusion Models
We propose DeCoDi, a debiasing procedure for text-to-image diffusion-based models that changes the inference procedure, does not significantly change image quality, has negligible compute overhead, and can be applied in any diffusion-based image generation model. DeCoDi changes the diffusion process to avoid latent dimension regions of biased concepts. While most deep learning debiasing methods require complex or compute-intensive interventions, our method is designed to change only the inferen…

KVCompose: Efficient Structured KV Cache Compression with Composite Tokens
Dmitry Akulov, Mohamed Sana, Antonio De Domenico, Tareq Si Salem, Nicola Piovesan, Fadhel Ayed
https://arxiv.org/abs/2509.05165

KVCompose: Efficient Structured KV Cache Compression with Composite Tokens
Large language models (LLMs) rely on key-value (KV) caches for efficient autoregressive decoding; however, cache size grows linearly with context length and model depth, becoming a major bottleneck in long-context inference. Prior KV cache compression methods either enforce rigid heuristics, disrupt tensor layouts with per-attention-head variability, or require specialized compute kernels. We propose a simple, yet effective, KV cache compression framework based on attention-guided, layer-adap…

Dynamic polarization of nuclear spins by optically-oriented electrons and holes in lead halide perovskite semiconductors
Mladen Kotur, Pavel S. Bazhin, Kirill V. Kavokin, Nataliia E. Kopteva, Dmitri R. Yakovlev, Dennis Kudlacik, Manfred Bayer
https://arxiv.org/abs/2509.15530

Dynamic polarization of nuclear spins by optically-oriented electrons and holes in lead halide perovskite semiconductors
A theory of dynamic polarization of the nuclear spin system via optically-oriented charge carriers in lead halide perovskites is developed and compared with the experiments performed on a FA$_{0.9}$Cs$_{0.1}$PbI$_{2.8}$Br$_{0.2}$ crystal. The spin Hamiltonians of the electron and hole hyperfine interaction with the nuclear spins of lead and halogen are derived. The hyperfine interaction of the halogen spins with charge carriers is shown to be anisotropic and depending on the position of the hal…

Reply to "Comment(s) to "Consequences of the single-pair measurement of the Bell parameter""
Marco Genovese, Fabrizio Piacentini
https://arxiv.org/abs/2509.07922

Reply to "Comment(s) to "Consequences of the single-pair measurement of the Bell parameter""
We reply to the comments made by M. Kupczynski and J. P. Lambare on our recent paper titled ''Consequences of the single-pair measurement of the Bell parameter'' [Phys. Rev. A 111, 022204 (2025)], questioning our claims on the implications on Quantum Mechanics interpretations (and alternative theories) generated by the results of a recent experiment [Quantum Sci. Technol. 9, 045027 (2024)] demonstrating the possibility of measuring the entire Bell parameter on a single entangled pair.