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Stefan Kuhn

Computing quantum entanglement with machine learning
Multilevel Generative Samplers for Investigating Critical Phenomena
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
Adaptive Observation Cost Control for Variational Quantum Eigensolvers,
Multilevel Generative Samplers for Investigating Critical Phenomena,
Small-scale Hamiltonian optimization of interpolating operators for Lagrangian lattice quantum field theory
Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects
Hamiltonian Lattice Formulation of Compact Maxwell-Chern-Simons Theory
Towards determining the (2+1)-dimensional Quantum Electrodynamics running coupling with Monte Carlo and quantum computing methods
Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects,
Hamiltonian Lattice Formulation of Compact Maxwell-Chern-Simons Theory,
Small-scale Hamiltonian optimization of interpolating operators for Lagrangian lattice quantum field theory,
Towards determining the (2+1)-dimensional Quantum Electrodynamics running coupling with Monte Carlo and quantum computing methods,

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