  We derive algebraic bounds on achievable rates for quantum state transfer and
entanglement generation in general quantum systems. We apply these bounds to
graph-based models of local quantum spin systems to obtain speed limits on
these tasks. A comparison to numerical optimal control results for spin chains
suggests that unexplored regions of the dynamical landscape may support
enhanced performance of key quantum information processing tasks.
