  This study explores the utility of a kernel in complex Langevin simulations
of quantum real-time dynamics on the Schwinger-Keldysh contour. We give several
examples where we use a systematic scheme to find kernels that restore correct
convergence of complex Langevin. The schemes combine prior information we know
about the system and the correctness of convergence of complex Langevin to
construct a kernel. This allows us to simulate up to $1.5\beta$ on the
real-time Schwinger-Keldysh contour with the $0+1$ dimensional anharmonic
oscillator using $m=1,\lambda=24$, which was previously unattainable using the
complex Langevin equation.
