Quantum neural networks are at home in the world of artificial intelligence, digitalisation, big data and smart data. They combine two ground-breaking technologies: artificial intelligence (AI) and quantum computing. Classic neural networks are primarily learnt from the field of artificial intelligence: these are systems that can recognise patterns and learn from data with the help of many networked "neurons" - similar to the human brain.
Quantum neural networks go one step further. They utilise the special capabilities of quantum computers - these can not only calculate faster, but also more complexly than conventional computers. This means that quantum neural networks can be used to analyse particularly complex problems faster and more accurately, for example when evaluating huge amounts of data.
An illustrative example: Imagine you want to find out in real time what goods a million-strong online shop will need next week. The conventional system takes hours to calculate the data. A quantum neural network could do this in just a few minutes and even recognise subtle trends that would otherwise be overlooked.
Quantum neural networks are still a young technology, but they have the potential to profoundly change many areas of digitalisation.
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