Stable solvers for real-time Complex Langevin

This study explores the potential of modern implicit solvers for stochastic partial differential equations in simulation real-time complex Langevin dynamics. Not only do these methods offer asymptotic stability, rendering issue runaway solution moot, but they also allow us to simulate at comparatively largeLangevin time steps, leading lower computational cost. We compare different ways regularizing underlying path integral and estimate errors introduced due finite time. Based on that insight, we implement benchmark (non-)thermal simulations quantum anharmonic oscillator canonical Schwinger-Keldysh contour short extent.