A hybrid classical-quantum linear solver is being explored, utilizing Noisy Intermediate-Scale Quantum machines. The development of this solver is part of a broader effort to compare and contrast quantum and classical computing methods, with potential applications in scientific computing and machine learning. Research in this area is ongoing, with various studies and algorithms being evaluated for their effectiveness and practicality.