Quantum computing offers potential for complex optimization problems in industrial applications

Quantum computing offers a new approach to carrying out complex calculations and predications rapidly and in all possible variations. To achieve this, however, the first challenge is to actually build and operate a functioning quantum computer. 

Now that the BayQS – the Bavarian quantum hub and quantum computer operated by IBM and Fraunhofer – has been commissioned, this goal is tantalizingly close. 

Three quantum experts from the Fraunhofer Institute for Integrated Circuits IIS, Markus Weissenbäck, Dr. Axel Plinge and Dr. Richard Schielein, describe the possibilities opened up by deploying qubits and quantum technology in various mathematical optimization tasks, machine learning, AI applications and typical industrial applications.

Fraunhofer IIS works on technologies of the future, and quantum computing promises to enable a massive leap forward. Fraunhofer IIS research, particularly in the field of quantum machine learning (QML), is yielding results. Read this interview to discover what QML is really all about, how far QML research has advanced and to what extent the results can already be applied.

Read More

A brief overview of quantum technology principles and projects at Fraunhofer IIS

Read more

Markus Weissenbäck explains what qubits and quantum technology can achieve in mathematical optimization.

Read more

Dr. Axel Plinge explains how quantum computing can enhance the precision of mobile applications.

Read more

Dr. Richard Schielein examines and tests the use of quantum algorithms to enhance the planning of image processing and X-ray inspection processes. Quantum computed tomography is opening up new options for industrial X-ray technology.

Read more