EPFL scientists show that even a few simple examples are enough for a quantum machine-learning model, the “quantum neural networks”, to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing.

EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.