Alternatives to Advancing promising results from Pillar II collaborative research through the innovation journey

Expected Outcome: The expected outcomes of this topic are : A common EU evaluation platform for AI chips and racks, with transparent KPIs, workloads and benchmark reports used for Chips JU selection and procurement decisions. First pilot deployments of European AI compute systems validated for EU sovereign partitions of AI infrastructure. Structured collaboration between buyers and suppliers, supporting deployment, integration and optimisation of European AI compute solutions. Stronger EU demand for European AI chips and racks, helping to create a market for deployment-ready solutions. Increased EU technological sovereignty across the AI compute stack for European datacentres.

Expected Outcome: This action will establish a pan-European open-access testing and experimentation infrastructure for quantum technologies, enabling systematic validation and certification of quantum components and systems. Expected outcomes include: Deployment of distributed quantum testing facilities accessible across Europe, including remote access and standardized test protocols. Provision of certification services aligned with future standardisation efforts, ensuring trust, quality, and interoperability of quantum technologies. Support for SMEs, start-ups, and research institutions in validating quantum components and sub-systems. Strengthening of Europe’s competitiveness by ensuring robust quality assurance mechanisms and accelerating the time-to-market of emerging quantum products. Scope: The proposal should implement the testing-related part of the action plan established under the Framework Partnership Agreement for Qu-Test. The action must include: Expansion and interconnection of open-access testing facilities in multiple Member States, covering a range of quantum technologies (e.g., processors, sensors, photonics, control systems). Development and deployment of…

Expected Outcome: This action will consolidate Europe’s position in superconducting quantum computing through: Establishment of a full-stack superconducting quantum computer aiming at 1.000 physical qubits and QPU architecture based on chiplet technology. The system should feature a scalable and user-adjustable architecture, T1 coherence time above 100 us, gate fidelities (both one- and two-qubit gates, and read-out) of at least 99.9%, read-out speed below 300 ns, two-qubit gate speed below 20 ns. Demonstration of quantum advantage on selected industrial use cases, validated through benchmarking with best-in-class classical methods. Deployment of a cloud-accessible quantum system integrated with high-performance computing environments. Maturation of fault-tolerant quantum computing protocols, including effective quantum error correction and noise mitigation schemes. Delivery of a comprehensive, standardised software stack supporting system bring-up, calibration, control, benchmarking, and user access. Strengthened supply chains and industrial capacity in Europe for superconducting quantum technologies. Scope: The proposal should contribute to the scale-up and practical deployment…

Expected Outcome: This action will strengthen Europe's strategic autonomy in quantum-secure communications by advancing core QKD technologies and integration capabilities. Expected results include: Development and demonstration of next-generation QKD systems, with a focus on cost-effectiveness and integration, with specific measurable improvements in one of the following parameters or features: (i) key rate (>1 Mbps over metropolitan distances), (ii) operational coverage of a network at the regional scale, >300 km for fibre-based QKD, including e.g. twin field and free-space links also for non-wired segments and for redundancy, (iii) development and demonstration of advanced quantum cryptographic protocols beyond QKD with provable security advantage over classical cryptographic systems. Implementation of hybrid quantum-classical cryptographic frameworks combining QKD and post-quantum cryptography (PQC), tested on clearly defined real-world applications. Integration of quantum communication components with network equipment and orchestration systems (e.g., software-defined networking). Validation of QKD-based security in high-priority use cases beyond EuroQCI infrastructure,…

Expected Outcome: This action will advance Europe’s leadership in trapped-ion quantum computing by achieving the following key outcomes: Establishment of a full-stack ion-trap quantum computer aiming at more than 1.000 qubits, fully integrated into high-performance computing (HPC) systems, and accessible via the cloud. Demonstration of quantum advantage for selected real-world applications, validated against benchmarks. Strengthened European capabilities to develop modular, interoperable, and scalable quantum computing architectures. Implementation and demonstration of advanced error correction and fault-tolerant quantum computing techniques. Integration of full-stack hardware-software systems with standardised and certified interfaces. Engagement with industry and academia through open access to quantum computing resources and co-design of applications. Scope: The action should support the scale-up of European trapped-ion quantum computing platforms, aiming at technological maturity and usability for industrial and scientific applications. In particular, the action must address at least two major technical roadblocks defined in the Strategic Research and Industry Agenda (SRIA…

Expected Outcome: This action will strengthen Europe's leadership and strategic autonomy in quantum technologies by advancing experimental pilot line capacities as a vital stepping stone toward future industrial-scale quantum hardware production. Qu-Pilot serves as the critical intermediary between academic research and the stable pilot lines under the Chips Joint Undertaking, offering a testbed for technological innovation, reproducibility, and manufacturability. Expected outcomes include: Deployment of experimental quantum pilot lines addressing diverse platforms and materials, laying the groundwork for broader integration into Chips JU pilot lines. Establishment of scalable and reproducible quantum fabrication processes, advancing TRL 4–6 technologies and addressing early-stage certification, standardisation, and quality control. Reinforcement of a pan-European quantum hardware ecosystem through shared infrastructure and open-access models, fostering participation from SMEs, startups, and research institutes. Demonstrated ability to accelerate technology maturity and feed critical feedback loops into future Chips JU stability pilot lines. Enhanced synergies with testing…

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Public authorities, industry, technology providers, energy producers and consumers profit from de-risking of cost-effective essential value chains of those renewable fuel technologies that can contribute to domestic commercial fuel production beyond 2030 customized to their needs, from improved access to better financing exploiting synergies across funding schemes, and from more effective market uptake, business models, increased competitiveness, and commercialization opportunities. Energy producers, clean tech manufacturing industries, researchers and consumers benefit from improved performance, lower environmental impact, security and competitiveness of ad-hoc renewable fuel technologies compared to existing ones, as well as new market opportunities. Community, public authorities and industry benefit from sharing the de-risking cost and reducing it by engaging several competing solution suppliers/technology providers in parallel, boosting transnational public and private investments in de-risking and attracting new players to tackle supplier lock-in issues The implementation…

Expected Outcome: Deep sedimentary/basement reservoirs are usually characterized by low permeability, high drilling cost and a scarcity of data, as they are typically ignored by hydrocarbon exploration. Major exploration challenges relate to predicting deep sedimentary and basement reservoir structures and properties to identify suitable locations for reservoir-independent approaches, capable of overcoming the low permeability obstacle, such as Enhanced Geothermal Systems (EGS) or closed-loop geothermal systems. Project results are expected to contribute to all of the following expected outcomes: Increased knowledge base for developers to unlock unexploited geothermal resources, increase drilling success rate, increase geothermal sources performance and reduce the risk of induced seismicity and deploy geothermal energy in a sustainable way in environmental (notably on biodiversity and pollution) and socioeconomic terms. Citizens and local communities are engaged and benefit from local, more secure and affordable renewable energy sources. Scope: Advanced methods, technologies and conceptual models, for different geological settings, to identify suitable conditions for geothermal…

Expected Impact: The resulting portfolio will not only advance the scientific state-of-the-art but also build a robust, interoperable, and application-driven community, positioning Europe at the forefront of trustworthy cognitive AI. It should also lay the foundations for future European leadership in safe, human-centric cognitive AI, supporting sovereignty and competitiveness in key sectors. It will support the ambitions of the AI Act [1] and the European approach to Artificial Intelligence [2] . Expected Outcome: Ambitious proposals put forward under this call will deliver: Models and/or architectures that handle multimodal data and knowledge, uncertainty, and can be trained and deployed with constrained computational resources Provable trustworthiness mechanisms ensuring explainability, transparency, fairness, risk evaluation, security and alignment with ethical and legal standards, including fundamental rights and the EU AI Act, and Demonstrate the developed capabilities integrated in a cognitive AI system (reaching TRL4) performing complex real-world tasks (e.g., scientific discovery, decision support, problem solving) as well as simulations at a scale. In addition, proposals…

Expected Impact: The resulting portfolio will not only advance the scientific state-of-the-art but also build a robust, interoperable, and application-driven community, positioning Europe at the forefront of trustworthy cognitive AI. It should also lay the foundations for future European leadership in safe, human-centric cognitive AI, supporting sovereignty and competitiveness in key sectors. It will support the ambitions of the AI Act [1] and the European approach to Artificial Intelligence [2] . Expected Outcome: Ambitious proposals put forward under this call will deliver: Models and/or architectures that handle multimodal data and knowledge, uncertainty, and can be trained and deployed with constrained computational resources Provable trustworthiness mechanisms ensuring explainability, transparency, fairness, risk evaluation, security and alignment with ethical and legal standards, including fundamental rights and the EU AI Act, and Demonstrate the developed capabilities integrated in a cognitive AI system (reaching TRL4) performing complex real-world tasks (e.g., scientific discovery, decision support, problem solving) as well as simulations at a scale. In addition, proposals…

Expected Outcome: Proposals are expected to contribute to all the following expected outcomes: more precise and more efficient biodiversity monitoring schemes, building on advanced technologies and more abundant data, are available; policymakers and relevant competent authorities have more efficient and user-friendly tools at their disposal to implement and evaluate results of the EU environmental legislation, leading to simplification of policy implementation and better protection and restoration of ecosystems. Scope: The implementation of the EU environmental legislation, in particular the Nature Restoration Regulation (NRR), the Soil Monitoring Law (SML) and the EU Water Framework Directive (WFD), requires precise monitoring of biodiversity to ensure that objectives are met. For instance, under the NRR, Member States are required to monitor annually the abundance and diversity of pollinator species using a specific monitoring method. Under the WFD implementation, the determination of ecological status of freshwater ecosystems is based on biodiversity monitoring. Under the SML, Member States have to monitor mandatorily the diversity of fungi and bacteria in soil through DNA…

Expected Outcome: Proposals are expected to contribute to all of the following expected outcomes: society, end-users, industry and decision makers better understand, anticipate and address biodiversity impacts of Europe’s reindustrialisation and decarbonisation across the value chain, from the demand-side and the design and operational phase to the end-of-life and waste phases, thus preserving biodiversity and ecosystem services by choosing least-harm transition options; society, end-users, industry and decision makers understand the benefits and impacts on biodiversity of societal, political, economic and technological choices, taking into account the direct, indirect and cumulative, and spatial and temporal dimensions, thus avoiding burden-shifting across ecosystems, regions and value chains; clean and digital industries are more resilient and provided with solutions to mitigate their impacts on terrestrial, marine and freshwater ecosystems and work towards a nature-positive economy, in line the EU Taxonomy and the Do No Significant Harm principle. Scope: One of the EU’s biggest priorities is to achieve the sovereign clean transition and digital transition. The Clean Industrial…