Euclidean-Monte-Carlo-informed ground-state preparation for quantum simulation of scalar field theory
The work develops a classical pipeline to generate efficient quantum circuits for preparing ground states of 1+1D scalar field theories. It combines a variational ansatz with moment optimization, using classical Monte Carlo data to guide the search. This results in states that are accurate in energy and correlation functions, providing a classically determined blueprint for near-term quantum simulation.