Neutral-Atom Platform Technologies
This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: • Fully programmable industry-ready quan…
Horizon Europe · European Union
Opens 17 Nov 2026
The EU's Horizon Europe programme expects to make 2 awards of €17.5 million each, from a total budget of €35 million. Applications close on 18 Mar 2027 (EU calls usually close at 17:00 Brussels time). Organisations in EU member states and Horizon Europe associated countries such as Türkiye can usually take part; the topic conditions control.
Project results are expected to contribute to developing new approaches, tools and techniques that overcome the obstacles of today's centralised AI compute techniques: limits in the availability of energy and AI compute capacity in centralised standalone environments, limited availability of types of AI chips, data quality and security and latency in AI data processing. The ultimate objective is to help overcome EU’s AI compute capacity bottlenecks by offering alternative decentralised and sustainable AI compute models that enable exploitation of diverse hardware processing architectures and scaling approaches.
This topic focusses on technologies and techniques that enable AI data processing to leverage distributed compute resources across the cloud and edge computing continuum throughout the whole AI model lifecycle from data collection, training, fine-tuning, and deployment. To overpass today’s state of the art in the area, the considered research areas include:
• To research on distributed, decentralised, and federated “compute continuum” enabled AI architectures beyond federated learning and integrating model compression tools and new mechanisms to enable AI data processing to scale across multiple and diverse computing infrastructures.
• Development, deployment, and operation of AI workflows across heterogeneous and distributed infrastructures along the compute continuum (edge, cloud, HPC), including the possibility of incorporating innovative computing paradigms (neuromorphic and quantum computing) and hardware efficiency enhancements ((e.g., including in-memory computing, and hardware and software approximation).
• Novel methods and techniques to improve data availability and consistency for decentralised AI data processing. These consider tools to ensure data quality (e.g. prevention of data sets imbalance or inconsistency across distributed data sources), volume optimisation for data transfers across environments, and distributed data management, all while preserving data privacy and preventing data leaks (e.g. via advanced cryptographic protection such as post-quantum cryptography for resistance to emerging quantum threats).
• New tools and mechanisms to measure, monitor and improve end-to-end energy efficiency and sustainability of AI data processing across the compute continuum, including the exploration of energy and sustainability implications of the heterogeneous AI processing architectures and their impact in the compute infrastructure design and long-term sustainability.
Successful project proposals should showcase proposed developments in at least two complementary use cases in different domains. These use cases should demonstrate the value gained and potential impact of project achievements in real-world situations, as well as address key applications and sectors critical to Europe's competitiveness. Use cases should provide compelling examples and scenarios and cater for the reproducibility of results' added value and impact in additional economic sectors.
Technology Readiness Level - Technology readiness level expected from completed projects
Activities are expected to start at TRL 3 and achieve TRL 6-7 by the end of the project – see General Annex B.
Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule). Country restriction: participation is limited to legal entities established in Member States, Iceland and Norway and the following additional associated countries: Canada, Israel, Republic of Korea, New Zealand, Switzerland, and the United Kingdom.
Applicant categories are a starting point. The official call decides eligibility.
Computer sciences, information science and bioinformatics Cloud computing Edge computing
Single-stage call. Next deadline 2027-03-18. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).
| Fact | Value | How we know | Taken from the source |
|---|---|---|---|
| Deadline | 18 March 2027 “Single-stage call. Next deadline 2027-03-18. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).” | official data field | 15 Nov 2026 |
| Amount per applicant | Unknown — not stated in the source we hold | unknown | — |
| Total budget | €35 million | official data field | 15 Nov 2026 |
| Funding rate | 100% of eligible costs | programme standard rule | 15 Nov 2026 |
| Who can apply | Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule). Country restriction: participation is… | programme standard rule | 15 Nov 2026 |
| Where to apply | Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route. | read from the official text | 15 Nov 2026 |
Facts on this page come from the funder’s official data, taken on 14 Nov 2026. The funder's own documents, including later amendments, always take precedence.
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