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Quantum Machine Learning is sponsored by European Commission — Horizon Europe. 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, 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, Demonstrators or proof-of-concept applications showcasing the relevance of QML for real-world challenges (e.g. climate and environmental modelling, Earth observation, healthcare and life sciences, materials discovery, finance, robotics, manufacturing, and cybersecurity), Strengthened European leadership and technological sovereignty in quantum computing and trustworthy AI, supported by cross-sector collaboration, knowledge transfer, and contributions to emerging standards, benchmarks and best practices. Enhanced collaboration across quantum computing, machine learning and application domains, fostering a coordinated European QML research and innovation community. Scope: Proposals are expected to address multiple key research directions in Quantum Machine Learning (QML), targeting both scientific excellence and industrial relevance. Proposals should clearly outline how to contribute to the development, validation and demonstration of quantum-enhanced AI approaches, with clear pathways towards practical applications. The proposed work should strengthen Europe’s scientific and technological capabilities in quantum computing and accelerate the industrial uptake of quantum-enhanced AI solutions. Activities may include, but are not limited to design and analysis of quantum, quantum-inspired or hybrid QML algorithms, performance modelling, complexity analysis and benchmarking of quantum-enhanced AI methods, development of error-mitigation and noise-aware strategies tailored to QML workloads, Proposals should advance scalable QML algorithms capable of addressing large-scale, computationally intensive problems, this includes approaches that can manage massive data volumes and complex computational tasks, enable faster data processing and improved predictive performance in relevant application domains (e.g. hydrologic research, climate modelling, terrain classification from satellite remote sensing, drug discovery, and image-based medical diagnosis). Many current QML methods remain closely inspired by classical algorithms and therefore do not yet achieve genuine quantum advantage, requiring further developments in quantum-native learning models, efficient quantum kernels and quantum feature mappings, algorithms demonstrating provable or empirical advantages over classical approaches. Proposals may also include formal complexity analyses, identification of problem classes that can benefit from quantum acceleration. Developments should address multiple of the following key research directions : Quantum Supervised Learning (QSL) : Quantum Supervised Learning investigates how quantum algorithms can accelerate or improve the training of supervised learning models, offering novel opportunities to explore quantum–classical learning theories and enabling industry to shorten development cycles and enhance performance in data-intensive domains such as finance, healthcare, and Earth observation. Integrating QSL into existing pipelines may help o
Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space
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Or search similar grants →According to the current listing, eligibility includes: Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: HORIZON-JU-RIA HORIZON JU Research and Innovation Actions. Additional conditions: "> General conditions 1. 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. 2. Eligible countries Described in Annex B of the Work Programme General Annexes. A... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Confirm the full requirements in the official notice before applying.
Applications for Quantum Machine Learning are due January 28, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Quantum Machine Learning is funded by European Commission — Horizon Europe. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Reinforcing EU autonomous access to space through EU-based spaceports is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all of the following outcomes: Reinforcing EU strategic autonomy by reducing non-EU dependencies for accessing space; Providing an EU access to space necessary for EU space missions through state of the art and innovative solutions; Diversifying the access to space providers in the EU; Contributing to expand commercial access to space offers and services in the EU; Reinforcing Access to Space to ensure that Europe maintains and improve autonomous, reliable and cost-effective access to space. Scope: The EU needs to improve the resilience of its access to space for the implementation of EU space programme. New entrants will contribute to this endeavour. Projects are expected to support EU launch service providers to set up launch pad(s) in the EU territory enabling to perform EU launch services. Projects are expected to contribute to the development of necessary ground facilities to conduct launch services from the EU territory; e.g. launch integration, storage and operation facilities, launch pad and complex, control command facility, payload processing and integration facilities, tracking means, safety means, propellant storage... EU launch service provider(s) are expected to be part of the project consortium and be the ultimate users of the resulting facilities making use of EU launch vehicles for providing EU launch services. Proposals under this topic should explore synergies and be complementary to past actions related to ground segment for launch services, in particular the topics: HORIZON-CL4-2023-SPACE-01-23 and HORIZON-CL4-2025-02-SPACE-11. All the activities should be complementary with national and ESA on-going or future activities, in particular those decided at the ESA council Ministerial Meeting in November 2025. In this topic, the integration of the gender dimension (sex and gender analysis) in research and innovation content should be addressed only if relevant in relation to the objectives of the research effort. Technology Readiness Level - Technology readiness level expected from completed projects Activities are expected to achieve TRL 8 by the end of the project. The reference TRL definition is the ISO 16290:2013 applicable to the space sector. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space
Space critical Equipment for EU non-dependence – Space Refuelling Interface is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Reinforcing EU strategic autonomy by reducing non-EU dependencies on critical space Equipment and related technologies across their entire supply chain; Providing unrestricted access to critical space Equipment and related technologies relevant for EU space missions and pilots (e.g. In-Orbit Space Operations); Developing or regaining capacity to operate independently in space by developing resilient space Equipment and related technologies supply chains, relying on EU supply chains and/or trustable and reliable supply chains not affected by non-EU export restrictions; Enhancing competitiveness by developing products and capabilities reaching equivalent or superior performance level than those from outside the EU and compete at worldwide level. Scope: Unrestricted access to state-of-art space equipment and related technologies is a pre-requisite for the EU space industry responding to EU space missions. However, especially for some families of equipment, the available solutions in EU do not meet the current high-performance space requirements. Currently, alternative products sourced from outside EU, are either affected by non-EU export control, that limits its use, or present challenges in terms of trustable supply chains for the implementation of EU space missions with a security dimension. Within the frame of this topic, it is expected to finance and implement a development project aiming at maturing critical equipment with the final goal of lowering the dependency from outside EU. This will be done by establishing a long-term sustainable supply chain for supporting EU strategic autonomy in the space sector. The selection of the supply chains shall reflect this objective. Therefore, the supply chain shall preferably be built fully based in EU and when this can only be achieved partially, services procured from outside EU shall nevertheless ensure that the overall supply chain will remain trustable and not affected by non-EU export control. The latest scenario is subject to the approval of the granting authority (i.e. DG-DEFIS and HaDEA). The space equipment and related technologies relevant for this topic represent a direct implementation of the EU Observatory of Critical Technologies (OCT) Technology Roadmap, named Robotics Manipulators for Space Applications: Space Refuelling Interface . Further details will be provided at the latest at the opening of the Call, in a Guidance document published on the Funding & Tenders Portal. Space is a low volume market affected by a dynamic industrial landscape compared to the terrestrial market therefore, technological spin in and/or bilateral collaborations should be enhanced between European non-space and space industries. Furthermore, proposed activities should be complementary to relevant national or other activities at EU level. Complementary activities should be clearly identified, described and the proposal should report how the complementarity is ensured. To achieve the non-dependence objective, applicants are expected to include a dedicated proposal’s paragraph covering: The description of the technology and/or technology processes used for developing the equipment and high-level breakdown of the supply chain to be used. Applicants should demonstrate that the supply chain and final product are free of any legal export restrictions or limitations, such as those established in the International Traffic in Arms Regulations (ITAR) or equivalent instruments applicable in other non-EU jurisdictions. Applicants shall also report, in a dedicated subsection, if and which part of the supply chain is affected by non-EU export controls such as the Export Administration regulation (EAR) i.e. EAR99. The description of the suitable technology development process that has been identified and set up within the consortium for avoiding export restrictions of non-EU states and assess vulnerab Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space, Space, including Earth Observation
IA Resilience call reinforcing Europe's strenght in health is sponsored by European Commission — Horizon Europe. Expected Outcome: the proposals under this call are expected to address one or more of the following subjects : • Enhanced personalized monitoring, care and treatments, focusing on the development of highly customized healthcare solutions, including the required research and diagnostic tools, tailored to individual needs, covering various scenarios such as chronic disease management, physiotherapy, precision diagnosis, personalized medicine/treatment, pre- and postoperative care, and daily assistance in homes and common spaces. It also targets effective management of chronic diseases and elderly care through personalized monitoring and interventions facilitated by advanced sensor technologies and edge-to-cloud solutions. This includes the development and integration of solutions for Hospitalization at Home, enabling patients to receive complex, remotely supervised care using intelligent medical devices capable of sensing, analysing, and transmitting real-time data. This requires a continuum, from in-hospital diagnostics to robust, long-term patient support at home via AI-driven care pathways and hospitalization at home. • Prevention and treatment of diseases, allowing the improved scientific understanding, early detection and proactive prevention of diseases through scientific research, continuous monitoring, predictive analytics, and timely alerts, possibly powered by AI algorithms. This preventive approach enables early intervention and significantly reduces risks associated with many illnesses such as viral infections (e.g. epi- and pan demics), cardiovascular diseases, diabetes complications affecting the health of the young and old. • Efficient, scalable, and cost-effective healthcare, demonstrating how ECS-based technologies can streamline clinical workflows, reduce administrative burdens, and improve resource allocation in healthcare systems. This includes automation and intelligent operations management across clinical, diagnostic, and homecare settings, ultimately improving cost-effectiveness and scalability. • Secure and compliant healthcare continuum, including solutions that ensure robust data protection and regulatory compliance (e.g. GDPR), particularly in handling sensitive health data. Projects should adopt privacy-by-design principles and implement secure data handling architectures using localized edge computing, encryption, authentication, and anonymization strategies within both clinical and assisted living environments. • Seamless interoperability across devices, systems, and platforms, addressing the integration of heterogeneous systems across the edge-to-cloud continuum. Solutions should rely on open standards and modular architectures to ensure interoperability, flexibility, and adaptability across various healthcare settings and use cases, fostering a unified European health-tech ecosystem. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space
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