  High Performance Computing (HPC), Artificial Intelligence (AI)/Machine
Learning (ML), and Quantum Computing (QC) and communications offer immense
opportunities for innovation and impact on society. Researchers in these areas
depend on access to computing infrastructure, but these resources are in short
supply and are typically siloed in support of their research communities,
making it more difficult to pursue convergent and interdisciplinary research.
Such research increasingly depends on complex workflows that require different
resources for each stage. This paper argues that a more-holistic approach to
computing infrastructure, one that recognizes both the convergence of some
capabilities and the complementary capabilities from new computing approaches,
be it commercial cloud to Quantum Computing, is needed to support computer
science research.
