Author

Martin Kiffner

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Review Sep 2026

Quantum Algorithms for Computational Fluid Dynamics

This analysis highlights that potential quantum advantage is highly problem dependent and governed by condition number, representational complexity, state preparation, and measurement constraints, and concludes that potential quantum advantage is highly problem dependent and governed by condition number, representation...

Mario Guillaume Cecile, Nis-Luca van Hulst, Tomohiro Hashizume et al. · 0 citations

Preprint Jul 2026

How Hard Is Quantum Advantage? A Cloud Microphysics Stress Test for Variational Quantum Models

This paper employs a hybrid quantum neural network (QNN) on a dataset on cloud microphysics, containing processes for phase transitions of water in the atmosphere and its related temperature changes, which are highly relevant for accurate climate predictions and projections.

Felix Herbort, Ellen Sarauer, Daniel Ohl de Mello et al. · 0 citations