3 papers
quant-ph2026
How Hard Is Quantum Advantage? A Cloud Microphysics Stress Test for Variational Quantum Models
Felix Herbort, Ellen Sarauer, Daniel Ohl de Mello +7
Quantum machine learning (QML) could have the potential to leverage advantages of quantum over classical computing but still lacks strong evidence of actual improvements and scalab…
quant-ph2025
Quantum Bayesian Optimization for the Automatic Tuning of Lorenz-96 as a Surrogate Climate Model
Paul J. Christiansen, Daniel Ohl de Mello, Cedric Brügmann +6
In this work, we propose a hybrid quantum-inspired heuristic for automatically tuning the Lorenz-96 model -- a simple proxy to describe atmospheric dynamics, yet exhibiting chaotic…
quant-ph2025
Dynamical quantum phase transitions on random networks
Tomohiro Hashizume, Felix Herbort, Joseph Tindall +1
We investigate two types of dynamical quantum phase transitions (DQPTs) in the transverse field Ising model on ensembles of ErdÅs-Rényi networks of size . These networks consi…