Latest

• 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,
• Simulating the Hubbard Model with Equivariant Normalizing Flows,
• Machine-Learning-Based Sampling in Lattice Field Theory and Quantum Chemistry
• 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,