Fast Linear Algebra in the Noisy Intermediate-scale Quantum Era

Shravan Veerapaneni, associate professor of mathematics, and his group aim to develop a probabilistic computing paradigm that can potentially be applied to a wide range of linear algebraic tasks. In addition to providing a toolkit for performing high-dimensional linear algebra, which is of intrinsic interest, the proposed solver provides a quantum-inspired classical benchmark for assessing the quantum computational advantage of the recently developed variational quantum linear solver.

MICDE Catalyst Grants support five new computational science projects