  The computational requirements of future large scale radio telescopes are
expected to scale well beyond the capabilities of conventional digital
resources. Current and planned telescopes are generally limited in their
scientific potential by their ability to efficiently process the vast volumes
of generated data. To mitigate this problem, we investigate the viability of
emerging quantum computers for radio astronomy applications. In this a paper we
demonstrate the potential use of variational quantum linear solvers in Noisy
Intermediate Scale Quantum (NISQ) computers and combinatorial solvers in
quantum annealers for a radio astronomy calibration pipeline. While we
demonstrate that these approaches can lead to satisfying results when
integrated in calibration pipelines, we show that current restrictions of
quantum hardware limit their applicability and performance.
