Comprehensive Library of Variational LSE Solvers
arXiv:2404.09916 · doi:10.1109/QCE60285.2024.10242
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.
Accepted to the 2nd International Workshop on Quantum Machine Learning: From Research to Practice (QML@QCE 2024), Montréal, Québec, Canada. 4 pages, 2 figures, 1 table
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