This project plans to engage a third-party institution tocarry out research on the construction andapplicationof an aquaculture standardization system based on integrated aerial…

Hire a third-partyinstitution to conduct research on thequality and safety of cowpeas.

This project plans to hire a third-party institution to carry out research and application on new technologiesfor safe agricultural production of lychees under sunlight.

This project plans to hire a third-party institution tocarry out research on the quality and safety of theagricultural product supply chain.

Expected Outcome: This action will establish a strategic European initiative to develop scalable, modular, and interoperable photonic quantum computing platforms. Proposals for this topic are expected to address and provide credible solutions to at least two major technical roadblocks currently limiting the advancement of photonic quantum computing such as: The lack of deterministic, high-efficiency photonic entanglement and loss-tolerant architectures suitable for fault-tolerant scaling The absence of a standardised, integrated control stack combining photonic hardware, firmware, and system software with reliable benchmarking across platforms Project results are expected to contribute to the following expected outcomes: By 2028, demonstration of a photonic NISQ processor with ≥100 photonic qubits, integrating deterministic single-photon sources, low-loss waveguides, on-chip detectors, and a firmware stack (scheduler, controller, compiler), validated via hardware-agnostic benchmarks and hybrid photonic-HPC applications demonstrating classical-quantum crossover By 2030, delivery of a full-stack, high-connectivity photonic quantum computer, with modular scalability, integrated…

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: The Synergy action for Teaming Centres of Excellence (CoE) responds to the need to ensure the sustainability of CoE funded under the Teaming calls [1] . The establishment of CoE in Widening countries, supported by a significant investment in Horizon 2020 and Horizon Europe, has created new opportunities for scientific, societal, and economic impact. However, to fully capitalise on this investment and enhance the sustainability and international competitiveness of these CoE, it is essential to facilitate stronger collaboration and strategic joint initiatives among them. Proposals are expected to contribute to all the following outcomes: Stronger long-term collaboration among Teaming CoE through structured joint initiatives and clustering efforts to enhance mutual learning, resource sharing, and collective research and innovation capacity; Strategic transformation of R&I systems by enhancing institutional cooperation and supporting structural reforms at national and regional levels; Promotion of multidisciplinary and transnational cooperation that will enable CoE to address critical European and global challenges, and EU policy priorities; Promote ERA priorities…

Yantai Food and Drug Testing Centre Lab