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.

翻译：线性方程组广泛存在于数学各分支及机器学习领域。通过利用含噪声中等规模量子设备，变分求解器有望加速大规模系统求解。尽管已有大量关于这些算法的理论研究，但现有实现方案零散不全。为填补这一空白，我们开发了变分线性系统求解器框架，该框架实现了文献中已有方法，并引入了若干改进方案。易用型接口专为工作在端到端应用识别与开发抽象层级的研究人员设计。