Latest
- Sample-Based Krylov Quantum Diagonalization for the Schwinger Model on Trapped-Ion and Superconducting Quantum Processors
- (2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer
- Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows
- SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
- A Path to Quantum Simulations of Topological Phases: (2+1)D Wilson Fermions Coupled To U(1) Background Gauge Fields
- 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,
- Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
- Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers,
- Simulating the Hubbard Model with Equivariant Normalizing Flows
- Simulating the Hubbard Model with Equivariant Normalizing Flows,
- Small-scale Hamiltonian optimization of interpolating operators for Lagrangian lattice quantum field theory
- Machine-Learning-Based Sampling in Lattice Field Theory and Quantum Chemistry
- 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
- C01
- C03
- 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,