- Integration of quantum computing into data pre-processing pipelines and learning workflows for data-heavy or computationally intensive tasks, demonstrating clear improvements in processing speed, computational complexity, modelling accuracy, and reduced sample requirements at scales achievable with NISQ-era devices, - Reliable and scalable Quantum Machine Learning (QML) models and algorithms, integrated with existing AI frameworks and pipelines, enabling faster data processing, improved prediction accuracy, and enhanced computational capabilities, - Validated quantum-enhanced AI methods demo…
The conditions for qualifying. An eligibility check tests your details against each one.
At least 3 independent partners
Does your company qualify?
Give a few facts about your company and project, and see for each condition whether you meet it.
Eligibility checkThe objective is to deliver three to four projects that demonstrate the streamlining of regulatory reporting through automated and trusted sharing of compliance data. Each project will addr…
na Outcomes and deliverables - One or more proofs-of-concept of replicable, scalable cloud-based AI/GenAI systems for analysis of medical imaging data in a healthcare setting, with demonstr…
- Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health. - Training programmes in the area of advanced digital skills for…
A check is an indication from the published conditions and the facts you give. Only the competent authority decides whether you are eligible.