Research on quantum neural networks is being conducted, with studies exploring their applications in various fields, including medicine and image classification. Some outlets are reporting on the development of new methods and frameworks for quantum neural networks, such as quantum kernel convolution and diagonal recurrent quantum neural networks. The potential of quantum machine learning for practical uses, like drug discovery, is also being discussed, although the field appears to still be in the experimental phase.