Research on variational quantum algorithms is being conducted, with a focus on improving their implementation and reachability. Studies are exploring various aspects, including input-state design, end-to-end workflows, and online quantum circuit learning. The applications of these algorithms are being investigated in different areas, such as deep neural networks, recommendation systems, and simulations of complex systems.