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Mierk Schwabe

13 papers hereh-index 455 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author6
  • last author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • quant-ph7
  • physics.ao-ph5
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedInterpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON

14 citations · 31 across the 11 of their papers we have counts for

collaborators
Showing 2026 · quant-phShow all

3 papers · 2 filters

quant-ph2026

Shadow models of a quantum model for cloud cover and the influence of finite sampling noise

Hedwig Keller, Mierk Schwabe, Veronika Eyring

Quantum computing is a quickly growing field that is promising various advantages compared to conventional computing. However, currently stand-alone quantum applications are scarce…

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-ph2026

Quantum-Enhanced Convergence of Physics-Informed Neural Networks

Nils Klement, Veronika Eyring, Mierk Schwabe

Partial differential equations (PDEs) form the backbone of simulations of many natural phenomena, for example in climate modeling, material science, and even financial markets. The…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.