Quantum Neural Networks (QNNs) are an emerging class of neural networks that combine principles of quantum computing with traditional neural network structures to potentially solve complex problems more efficiently than classical computers.
For example, QNNs could be used to simulate the behavior of molecules in a chemical reaction, allowing for the development of new drugs and materials more quickly and accurately than classical computers can.