Quantum Machine Learning

Ufuk Avrupa (Horizon Europe) · çağrı konusu HORIZON-JU-EUROHPC-2026-QML-07-01 (Quantum Machine Learning). Eylem türü: HORIZON JU Research and Innovation Actions.

Expected Outcome:

• 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, …

Kaynak: Avrupa Komisyonu Funding & Tenders Portal (otomatik aktarım; ayrıntı ve güncel koşullar için resmî sayfaya bakın).

"> General conditions

• Admissibility conditions: Proposal page limit and layout

The conditions are described in the General Annex A of the Horizon Europe Work Programme 2026-2027.

The page limit of the application is 70 pages.

Described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.

Proposal layout: described in Part B of the Application Form available in the Submission System.

• Eligible countries

Described in Annex B of the Work Programme General Annexes. …

Uygunluk: ülkenizin bu programa katılım durumunu ve ortaklık şartlarını resmî konu sayfasından teyit edin.