Quantum neural networks reside within the realm of Artificial Intelligence, digitalisation, and Big Data and Smart Data. They connect two groundbreaking technologies: Artificial Intelligence (AI) and quantum computing. Classical neural networks are primarily learned from the field of „Artificial Intelligence“: these are systems that can recognise patterns and learn from data using many interconnected „neurons“ – similar to the human brain.
Quantum neural networks go a 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: complex problems can be analysed more quickly and accurately with quantum neural networks, for example, when evaluating enormous amounts of data.
A vivid example: imagine you want to find out in real time which goods a multi-million turnover online shop will need next week. A conventional system takes hours to calculate the data. A quantum neural network could do this in a matter of minutes, even detecting subtle trends that would otherwise be overlooked.
Quantum neural networks are a young technology, but one that has the potential to profoundly change many areas of digitalization.
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