Quantum Machine Learning (QML) is a term that is particularly at home in the fields of artificial intelligence, big data, smart data and digital transformation. QML combines the possibilities of machine learning - i.e. the ability of computers to learn from data - with the innovative computing power of quantum computers.
Imagine you own a large company and want to analyse huge amounts of customer data in order to identify trends even faster than today. Traditional computers often reach their limits because they take a very long time to perform complex calculations. Quantum machine learning, however, utilises the special rules of quantum physics to perform many calculations simultaneously. This makes analyses much faster and opens up completely new possibilities for data-based decisions.
An illustrative example: In the financial sector, quantum machine learning could help to recognise fraud patterns in real time or make better investment decisions by examining many more scenarios than previously possible. In this way, quantum machine learning helps companies to handle their data even more intelligently and remain competitive.
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