4 papers
Do AI weather models miss extremes?
Marvin Vincent Gabler, Roberto Molinaro, Niall Siegenheim +5
First-generation AI weather models are often reported to underperform at extremes, mostly in reanalysis-based evaluations of deterministic regression systems. We verify eleven phys…
Universal Diffusion-Based Probabilistic Downscaling
Roberto Molinaro, Niall Siegenheim, Henry Martin +4
We introduce a universal diffusion-based downscaling framework that lifts deterministic low-resolution weather forecasts into probabilistic high-resolution predictions without any…
Quantum-HPC hybrid computation of biomolecular excited-state energies
Kentaro Yamamoto, Riku Masui, Takahito Nakajima +16
We develop a workflow within the ONIOM framework and demonstrate it on the hybrid computing system consisting of the supercomputer Fugaku and the Quantinuum Reimei trapped-ion quan…
Extending Quantum Computing through Subspace, Embedding and Classical Molecular Dynamics Techniques
Thomas M. Bickley, Angus Mingare, Tim Weaving +10
The advent of hybrid computing platforms consisting of quantum processing units integrated with conventional high-performance computing brings new opportunities for algorithm desig…