New parallel hybrid network achieves better performance through quantum-classical collaboration

Building efficient quantum neural networks is a promising direction for research at the intersection of quantum computing and machine learning. A team at Terra Quantum AG designed a parallel hybrid quantum neural network and demonstrated that their model is "a powerful tool for quantum machine learning." This research was published in Intelligent Computing.