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. This is because quantum computing has the potential to overcome the fundamental limitations of classical digital computers. While a digital computer computes 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 techniques can be adapted for quantum computers so that they can take 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.
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 Technology Hub Machine Learning 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.
In the study "Quantum Machine Learning", published together with the Fraunhofer Big Data AI Alliance, our experts give an insight into quantum computing, explain 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. The study also provides an overview of the current research and competence landscape and ranks Germany's position in international competition. In addition, the study presents concrete application areas and market potentials for various industries.
After all, 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 added value. With this study, we would like to offer orientation to players from business, science and society and highlight the potential that is already visible today and will be used in companies in the future.
In this video, Prof. Dr. Christian Bauckhage, Scientific Director of the Technology Hub Machine Learning and Lead Scientist at Fraunhofer IAIS, provides insight into the importance of quantum computers and the current state of research.
Dr. Nico Piatkowski, scientist at Fraunhofer IAIS, explains how the technology works and its advantages.
Dr. Thomas Soddemann, head of the High Performance Computing business unit at Fraunhofer SCAI, will shed light on concrete possible applications of quantum computers, for example in logistics or production.