Parallel methods for high-dimensional quantum dynamics Original Research Article

In this communication we propose new schemes for parallelizing the bend matrix–vector product required to compute spectra, cross-sections, etc. using iterative methods. The new schemes are compared to those already in the literature and results demonstrating the advantage of our best scheme are given for image. We find that the best scheme parallelizes over a single quadrature index. This enables one to exploit the favorable scaling product basis matrix–vector products.