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arXiv · 2404.09916

Comprehensive Library of Variational LSE Solvers

Nico Meyer·Martin Röhn·Jakob Murauer·Axel Plinge·Christopher Mutschler·Daniel D. Scherer
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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 designed for researchers that work at the abstraction level of identifying and developing end-to-end applications.

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Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer. 2024-04-15. Comprehensive Library of Variational LSE Solvers. https://doi.org/10.1109/qce60285.2024.10242

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