Abstract
Although promising in terms of its applications in many facets of science and engineering; notably, in laser technology and remote sensing, ghost imaging is primarily impeded by its intense demands related to computational overhead, which impacts on the quality of output images. Advances in imaging and computing technologies have seen many efforts to overcome this perceived shortcoming. This study contributes towards ameliorating the earlier mentioned costs via implementation of ghost imaging from the perspective of quantum computing. Specifically, a quantum circuit implementation of ghost imaging is proposed wherein the speckle patterns and phase mask are encoded by utilizing the quantum representation of images. To accomplish this, we formulated several quantum modules, i.e. quantum accumulator, quantum multiplier, and quantum divider, and suffused them into our quantum ghost imaging (QGI) mechanism. Our study provides a new impetus to explore the implementation of ghost imaging using quantum computing resources.