Quantum Machine Learning:
Competencies, Research, Application

Many challenges in the field of Big Data and Artificial Intelligence can still only be solved with immense time and computational effort, despite the advanced computing power of computer systems – some are even so complex that they are almost unsolvable with today's computer capacities or would take years to calculate. It will take a "quantum leap" to raise Artificial Intelligence and Machine Learning to a new level and make the almost unsolvable solvable.
 

Artificial Intelligence and Machine Learning are revolutionized by quantum computing

This is where quantum technology comes in – specifically, quantum computing. The use of quantum computers will change Artificial Intelligence and Machine Learning in a disruptive way. In fact, quantum computing has the potential to overcome the fundamental limitations of classical digital computers. While a digital computer calculates with bits, a quantum computer works with qubits, which, unlike classical bits, can assume not only one of two possible states, but also a superposition of both. Artificial Intelligence and Machine Learning methods can be adapted for quantum computers so that they can follow multiple solution paths simultaneously. This allows quantum computers to process large data sets in a single step, detect patterns in the data that classical computers cannot, and provide reliable results even on incomplete or uncertain data. The potential of this combination of Artificial Intelligence and Quantum Computing could have an impact on almost all areas of our economy and society in just a few years.
 

Fraunhofer-Gesellschaft brings first quantum computer to Germany

In order to advance application-oriented quantum computing research in Germany and Europe, the Fraunhofer-Gesellschaft is joining forces with IBM to bring the first quantum computer to Germany – starting in 2021, the "IBM Q System One" will be operated by a consortium of seven Fraunhofer Institutes in Germany. Scientists of the Fraunhofer Big Data and Artificial Intelligence Alliance will use the quantum computer to practically test and further develop methods from ML research on the basis of concrete application scenarios from science and industry.

Fraunhofer Competence Network Quantum Computing

Study: "Quantum Machine Learning"

In our study "Quantum Machine Learning" we give an insight into quantum computing, explaining which physical effects play a role and how they are used to accelerate Machine Learning procedures. In addition to the logical components, techniques for implementing the hardware of quantum computers are also presented. Furthermore, the study provides an overview of the current research and competence landscape and assesses Germany's position in international competition. The study also presents specific areas of application and market potential for various industries.

In the coming years, companies from different industries will face the challenge of developing new market and business potential with the help of quantum computing in order to increase their value creation. With this study, we would like to offer orientation to players from business, science and society and show the potential that is already visible today and will be used in companies in the future.

The study is also available in English translation since August 2021.

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Press release on the study (in German)

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