This call aims to strengthen Europe’s scientific and technological capabilities and advance research at the intersection of quantum computing and artificial intelligence.
Status: OPEN
Reference: HORIZON-JU-EUROHPC-2026-QML-07
Publication date: 2 June 2026
Opening date:
Deadline model: Single-stage
Deadline date: 28 January 2027, 17:00 (CET)
Description
With the objective of advancing and unlocking new capabilities for data processing, optimisation, and modelling, the expected outcomes of this call are meant to:
- Use hybrid approaches by combining quantum processors with classical HPC systems which can address computational bottlenecks while maintaining scalability and robustness , are expected to
- Contribute to development, validation, and demonstration of Quantum Machine Learning (QML) methods, including novel quantum, quantum-inspired, or hybrid algorithms, performance benchmarking, and noise-aware strategies.
Particular emphasis is placed on scalable solutions capable of handling large and complex datasets, as well as on the development of quantum-native learning models that can demonstrate clear advantages over classical approaches.