Stefan Kühn — accepted AI-conference papers

2025

Multilevel Generative Samplers for Investigating Critical Phenomena

Ankur Singha, Elia Cellini, Kim Andrea Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima

ICLR 2025poster

Investigating critical phenomena or phase transitions is of high interest in physics and chemistry, for which Monte Carlo (MC) simulations, a crucial tool for numerically analyzing macroscopic properties of given systems, are often hindered by an emerging divergence of correlation length---known as…

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2024

Adaptive Observation Cost Control for Variational Quantum Eigensolvers

Christopher J. Anders, Kim Andrea Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke +3

ICML 2024poster

The objective to be minimized in the variational quantum eigensolver (VQE) has a restricted form, which allows a specialized sequential minimal optimization (SMO) that requires only a few observations in each iteration. However, the SMO iteration is still costly due to the observation noise---one *o…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗