  The sparse-driven radar imaging can obtain the high-resolution images about
target scene with the down-sampled data. However, the huge computational
complexity of the classical sparse recovery method for the particular situation
seriously affects the practicality of the sparse imaging technology. In this
paper, this is the first time the quantum algorithms are applied to the image
recovery for the radar sparse imaging. Firstly, the radar sparse imaging
problem is analyzed and the calculation problem to be solved by quantum
algorithms is determined. Then, the corresponding quantum circuit and its
parameters are designed to ensure extremely low computational complexity, and
the quantum-enhanced reconstruction algorithm for sparse imaging is proposed.
Finally, the computational complexity of the proposed method is analyzed, and
the simulation experiments with the raw radar data are illustrated to verify
the validity of the proposed method.
