  We show that Hamiltonian Monte Carlo, applied to the von Mises distribution
with Laplace distribution for the momentum, has exactly solvable equations of
motion. With an appropriate travel time, the Markov chain has negative
autocorrelation at odd lags and yields a relative effective sample size bigger
than one.
