Erlangen/Nuremberg: AI has already found its way into many areas of work and everyday life. However, training modern AI models requires enormous computing resources, resulting in high energy consumption and significant CO₂ emissions. Reducing this demand through intelligent methods has therefore become a pressing priority. The QC-Train project team, consisting of infoteam Software AG, the Fraunhofer Institute for Integrated Circuits IIS, OptWare GmbH, and the associated partners DATEV and Schaeffler Technologies, is developing a quantum computing-based solution to significantly reduce emissions while simultaneously increasing the performance of training large foundation models. The project is funded under the Bavarian Collaborative Research Program “Digitalization” (BayVFP) of the Free State of Bavaria.
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