Lena Funcke

17 papers A* 2A 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tackling the Sign Problem in the Doped Hubbard Model with Normalizing Flows.
CoRR
Dominic Schuh, Lena Funcke, Janik Kreit, Thomas Luu, Simran Singh
2026 J jnl
Toward Scalable Normalizing Flows for the Hubbard Model.
CoRR
Janik Kreit, Andrea Bulgarelli, Lena Funcke, Thomas Luu, Dominic Schuh, Simran Singh, Lorenzo Verzichelli
2025 J jnl
Adaptive Observation Cost Control for Variational Quantum Eigensolvers.
CoRR
Christopher J. Anders, Kim A. Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima
2025 J jnl
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers.
CoRR
Samuele Pedrielli, Christopher J. Anders, Lena Funcke, Karl Jansen, Kim A. Nicoli, Shinichi Nakajima
2025 J jnl
Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers.
CoRR
Kim A. Nicoli, Luca J. Wagner, Lena Funcke
2025 J jnl
SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows.
CoRR
Janik Kreit, Dominic Schuh, Kim A. Nicoli, Lena Funcke
2025 J jnl
Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows.
CoRR
Dominic Schuh, Janik Kreit, Evan Berkowitz, Lena Funcke, Thomas Luu, Kim A. Nicoli, Marcel Rodekamp
2025 J jnl
Simulating the Hubbard Model with Equivariant Normalizing Flows.
CoRR
Dominic Schuh, Janik Kreit, Evan Berkowitz, Lena Funcke, Thomas Luu, Kim A. Nicoli, Marcel Rodekamp
2024 A* conf
Adaptive Observation Cost Control for Variational Quantum Eigensolvers.
ICML
Christopher J. Anders, Kim Andrea Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima
2024 J jnl
Physics-Informed Bayesian Optimization of Variational Quantum Circuits.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2023 A* conf
Physics-Informed Bayesian Optimization of Variational Quantum Circuits.
NeurIPS
Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2023 J jnl
Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment.
Comput. Softw. Big Sci.
Arianna Crippa, Lena Funcke, Tobias Hartung, Beate Heinemann, Karl Jansen, Annabel Kropf, Stefan Kühn, Federico Meloni, David Spataro, Cenk Tüysüz, Yee Chinn Yap
2022 J jnl
Applications of Machine Learning to Lattice Quantum Field Theory.
CoRR
Denis Boyda, Salvatore Calì, Sam Foreman, Lena Funcke, Daniel C. Hackett, Yin Lin, Gert Aarts, Andrei Alexandru, Xiao-Yong Jin, Biagio Lucini, Phiala E. Shanahan
2021 A conf
Best-approximation error for parametric quantum circuits.
ICWS
Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Manuel Schneider, Paolo Stornati
2021 J jnl
Dimensional Expressivity Analysis of Parametric Quantum Circuits.
Quantum
Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Paolo Stornati
2021 J jnl
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
2020 J jnl
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati