The official call describes development, validation and demonstration of quantum machine learning methods, including hybrid approaches that combine quantum processors with classical HPC. Benchmarking, noise-aware strategies and scalability are central to evaluating whether a proposed method addresses a meaningful computational problem.\n\nThe funding opportunity is relevant to algorithm and systems research. It does not establish that quantum methods already outperform classical alternatives for a particular application. Prospective participants should assess the actual technical objectives, validation requirements and eligibility conditions in the official documents, rather than treating a general interest in AI as sufficient fit.
Quantum algorithm researchers, machine-learning and HPC teams, research institutes and organizations developing or evaluating hybrid computing methods and performance benchmarking.
The topic applies Horizon Europe General Annex eligibility conditions and limits participation to legal entities established in EU Member States, Horizon Europe associated countries and EuroHPC JU participating states, as specified in the official topic country list. Proposals including entities outside the permitted countries are ineligible. Financial and operational capacity, admissibility and other official conditions also apply. The topic conditions differ from other EuroHPC platform calls; consult the specific notice and full documents before assessing an organization or consortium.
The scope may support research partnerships involving quantum algorithms, classical computing integration and benchmarking expertise. This is a funding call, not a procurement tender or evidence of guaranteed industrial adoption.
