Quantum face recognition protocol with ghost imaging.

ABSTRACT: Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, with numerous applications in security, access control, and law enforcement, among many others. Pattern recognition with classical algorithms requires significant computational resources, especially when dealing with high-resolution images in an extensive database. Quantum algorithms have been shown to improve the efficiency and speed of many computational tasks, and as such, they could also potentially improve the complexity of the face recognition process. Here, we propose a quantum machine learning algorithm for pattern recognition based on quantum principal component analysis, and quantum independent component analysis. A novel quantum algorithm for finding dissimilarity in the faces bas

SUBMITTER: Salari V 

PROVIDER: S-EPMC9918728 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature