Quantum Machine Learning
In short
This is a Research and Innovation Action under Horizon Europe. The budget is €6 million for about 2 grants of €2 million to €3 million each. Deadline: 28 January 2027.
What the call wants to achieve
- 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 demonstrating measurable improvements over classical baselines in terms of speed, accuracy, data efficiency, complexity, or scalability, supported by rigorous benchmarking and complexity analysis,
- Robust, noise-aware QML techniques suitable for NISQ hardware , including error-mitigation strategies and algorithmic adaptations that improve reliability, performance, and reproducibility on real quantum processors,
Source: EU Funding & Tenders Portal, © European Union, CC BY 4.0, summarised. The official call text and its annexes decide eligibility, budget and deadlines.
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