Comprehensive Library of Variational LSE Solvers
Nico Meyer Martin Röhn Jakob Murauer Axel Plinge Christopher Mutschler Daniel D. Scherer
Linear systems of equations can be found in various mathematical domains, as
well as in the field of machine learning. By employing noisy intermediate-scale
quantum devices, variational solvers promise to accelerate finding solutions
for large systems. Although there is a wealth of theoretical research on these
algorithms, only fragmentary implementations exist. To fill this gap, we have
developed the variational-lse-solver framework, which realizes existing
approaches in literature, and introduces several enhancements. The
user-friendly interface is designed for researchers that work at the
abstraction level of identifying and developing end-to-end applications.