Comprehensive Library of Variational LSE Solvers
<|reference_start|>Comprehensive Library of Variational LSE Solvers: 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.<|reference_end|>
@article{meyer2024comprehensive,
    title={Comprehensive Library of Variational LSE Solvers},
    author={Nico Meyer, Martin R"ohn, Jakob Murauer, Axel Plinge, Christopher
  Mutschler, and Daniel D. Scherer},
    journal={arXiv preprint arXiv:2404.09916},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.09916},
    primaryClass={quant-ph cs.LG cs.SE}
}