(NextWeb) Another review of the Italian researcher that recently developed the first functioning quantum neural network by running a special algorithm on an actual quantum computer. The team, lead by Francesco Tacchino of the University of Pavia. They developed a single-layer artificial neural network (ANN) that runs on a quantum computer. This kind of rudimentary ANN is called a perceptron, and it’s the basic building block of more robust neural networks. Tomorrow’s intelligent machines won’t be either AI-powered or quantum — they’ll be both.
The Italian team proved that by successfully running their perceptron algorithm on the IBM Q system and using the resultant neural network to conduct image classification tasks. To the best of our knowledge this is the first time this has been done.
In the world of physics, as researchers learn more about ANNs, and engineers develop more advanced quantum computing systems, it’s possible a new class of machine learning will arrive to replace the old classical deep learning networks.