Quantum computing uses quantum mechanical effects to perform calculations that are far beyond the capabilities of conventional supercomputers. It therefore holds the potential to efficiently deal with previously unsolvable problems in the future. With the two key aspects quantum-based machine learning and quantum optimization, the group studies industry-relevant applications and methods so that the transfer of quantum computing on a broad industrial scale can take place at an early stage. The focus is further developing new quantum algorithms and refining existing ones, taking the current progress of the quantum computing hardware into account. Despite this promising outlook, some challenges can still only be overcome in the mid-term. One of the main tasks is to identify which applications can benefit from today’s quantum computers.
Key application areas at Fraunhofer IPA include manufacturing engineering and automation, as well as hydrogen technology. These are closely related to the need for sustainable development, which can trigger transformation processes that are relevant to the future.
As part of the Fraunhofer “Quantum Computing” competence network, Fraunhofer IPA has exclusive access to IBM Q System One, Europe's first commercial quantum computer, which went into operation in Ehningen near Stuttgart in 2021.