Variational Quantum Classifiers

Quantum autoencoders enhance vision learning and defend against adversarial attacks

Researchers have developed quantum masked autoencoders (QMAEs) capable of learning missing features within quantum states, outperforming standard quantum autoencoders in image reconstruction tasks. Additionally, a new d…