MAMS PhD Student Mercy Amankwah has authored a paper in Nature Scientific Reports https://www.nature.com/articles/s41598-022-11024-y). The article, titled “Quantum pixel representations and compression for N-dimensional images”, introduces a novel and uniform framework (called QPIXL) which may be used to represent quantum images. QPIXL overaches existing popular methods in the literature and has been shown to reduce gate complexity to a linear scale in terms of the number of pixels without requiring any ancillary . The framework allows generation of circuits practical for noisy intermediate-scale quantum (NISQ) devices, as well as efficient circuits for a proposed compression algorithm which still preserves image quality of scientific images even at a 90% compression. Amankwah’s algorithms have been made publicly available as part of QPIXL++, a Quantum Image Pixel Library. Her work grew out of an internship at the Computing Sciences Area’s Summer Program of the Lawrence Berkeley National Laboratory. You can read more about her experiences in the summer program here:
