By Fraunhofer-Gesellschaft - Institute for Microelectronic Circuits and Systems (IMS)
Companies are increasingly confronted with the need to manage large and complex portfolios that already require massive use of information technology. The ability to make optimal decisions quickly is increasingly becoming a decisive competitive advantage. Quantum computers offer the prospect of outperforming conventional computers in the relevant optimization processes and could decisively accelerate portfolio-related decisions. In the QORA project, such optimization methods are developed based on the Quantum Approximate Optimization Algorithm (QAOA) and tested on the quantum computer IBM Quantum System One, which is operated by the Fraunhofer-Gesellschaft.