QUASIM – Quantum Computing-based Simulations in Manufacturing
Manufacturing is one of the most important German industries and must meet the highest quality standards. In order to avoid manufacturing errors, simulations are used to optimize machine parameterizations, which are often challenging for SMEs as they place particular demands on engineering knowledge. QUASIM is testing a quantum computing (QC) approach to accelerate simulations in manufacturing and make them more practical by reducing modeling efforts through quantum machine learning (QML). By comparing with previous methods, innovative solutions based on QC are designed, implemented, integrated into low-threshold Quantum Services (QS), and made available in distributed environments. In particular, hybrid models combining QC and machine learning (ML) are promising. This should enable manufacturing companies to access QS with limited simulation expertise.
The exhibit uses machining and laser cutting as examples to show how offloading simulations and training into QS support models from numerics and ML. In this way, simulations are accelerated, and innovative simulation models are transferred to industrial practice in the first place.
DFKI Research Department Smart Service Engineering