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Karl Jansen
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Computing quantum entanglement with machine learning
A Comprehensive Stress Test of Truncated Hilbert Space Bases against Green's function Monte Carlo in U(1) Lattice Gauge Theory
(2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer
A Path to Quantum Simulations of Topological Phases: (2+1)D Wilson Fermions Coupled To U(1) Background Gauge Fields
Dynamics in Hamiltonian Lattice Gauge Theory: Approaching the Continuum Limit with Partitionings of SU$(2)$
Multilevel Generative Samplers for Investigating Critical Phenomena
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers
Adaptive Observation Cost Control for Variational Quantum Eigensolvers,
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers,
Dynamics in Hamiltonian Lattice Gauge Theory: Approaching the Continuum Limit with Partitionings of SU$(2)$,
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,