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Comprehensive Library of Variational LSE Solvers
April 16, 2024, 4:44 a.m. | Nico Meyer, Martin R\"ohn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
cs.LG updates on arXiv.org arxiv.org
Abstract: 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 …
abstract algorithms arxiv cs.lg cs.se devices domains found intermediate library linear machine machine learning quant-ph quantum research scale solutions systems type wealth
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