Tootfinder

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
Mahmud Ashraf Shamim, Eric Reinhardt, Talal Ahmed Chowdhury, Sergei Gleyzer, Paulo T Araujo
https://arxiv.org/abs/2506.01891

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
Neural Quantum States (NQS) are a class of variational wave functions parametrized by neural networks (NNs) to study quantum many-body systems. In this work, we propose SineKAN, the NQS ansatz based on Kolmogorov-Arnold Networks (KANs), to represent quantum mechanical wave functions as nested univariate functions. We show that \sk wavefunction with learnable sinusoidal activation functions can capture the ground state energies, fidelities and various correlation functions of the 1D Transverse-F…

@… I’m very much in the same boat, but given that there’s Akrapovič, well-known manufacturer of exhaust systems for motorcycles and performance cars, I could very well imagine someone saying, “bro, I had an Akropovič exhaust fitted to my Kosmaczewski MX-100, it’s so freaking fast now, gotta install Piotrowski brakes!”

@… I’m very much in the same boat, but given that there’s Akrapovič, well-known manufacturer of exhaust systems for motorcycles and performance cars, I could very well imagine someone saying, “bro, I had an Akropovič exhaust fitted to my Kosmaczewski MX-100, it’s so freaking fast now, gotta install Piotrowski brakes!”

Backward Responsibility in Transition Systems Beyond Safety
Christel Baier, Rio Klatt, Sascha Kl\"uppelholz, Johannes Lehmann
https://arxiv.org/abs/2506.05192

Backward Responsibility in Transition Systems Beyond Safety
As the complexity of software systems rises, methods for explaining their behaviour are becoming ever-more important. When a system fails, it is critical to determine which of its components are responsible for this failure. Within the verification community, one approach uses graph games and the Shapley value to ascribe a responsibility value to every state of a transition system. As this is done with respect to a specific failure, it is called backward responsibility. This paper provides ti…

Models for differential cross section in proton-proton scattering and their implications at ISR and LHC energies
Muhammad Saad Ashraf, Nosheen Akbar, Sarwat Zahra
https://arxiv.org/abs/2506.05532

Models for differential cross section in proton-proton scattering and their implications at ISR and LHC energies
Few composite exponential models for the differential cross section are proposed to analyse the proton-proton ($pp$) elastic scattering at several energies. These proposed models are fitted to the data for $pp$ elastic differential cross section reported at CERN-ISR, LHC, and extrapolated energies of other models. These models have produced important features including dip-bump structure and shrinkage of the forward peak. Position of the dip is also well produced by our models for all the data …

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/2]:
- Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
Mahmud Ashraf Shamim, Eric A F Reinhardt, Talal Ahmed Chowdhury, Sergei Gleyzer, Paulo T Araujo

Credit risk for large portfolios of green and brown loans: extending the ASRF model
Alessandro Ramponi, Sergio Scarlatti
https://arxiv.org/abs/2506.12510 h…

Credit risk for large portfolios of green and brown loans: extending the ASRF model
We propose a credit risk model for portfolios composed of green and brown loans, extending the ASRF framework via a two-factor copula structure. Systematic risk is modeled using potentially skewed distributions, allowing for asymmetric creditworthiness effects, while idiosyncratic risk remains Gaussian. Under a non-uniform exposure setting, we establish convergence in quadratic mean of the portfolio loss to a limit reflecting the distinct characteristics of the two loan segments. Numerical resu…